# ———————————————————————
# Create a py360 environment (Python 3.6)
# List the environments currently installed
# ———————————————————————
C:\Users\Evan>conda create -n py360 python=3.6
C:\Users\Evan>conda info –envs
# conda environments:
#
py278 C:\Anaconda3\envs\py278
py335 C:\Anaconda3\envs\py335
py350 C:\Anaconda3\envs\py350
py360 C:\Anaconda3\envs\py360
root * C:\Anaconda3
# ———————————————————————
# Install Jupyter notebook into py360 environment
# ———————————————————————
C:\Users\Evan>conda install -n py360 jupyter
# ———————————————————————
# Install matplotlib (ver 2.0.2) into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 matplotlib
Copied matplotlibsrc from C:\Anaconda3\envs\py360\Lib\site-packages\matplotlib\mpl-data\matplotlibrc
to c:\\Python Docs\\Py3_Notebooks\\matplotlibrc
# ———————————————————————
# Install pandas into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 pandas
# ———————————————————————
# Install xlrd into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 xlrd
# ———————————————————————
# Install hdf5 scikit-learn astropy into py360 environment – All SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 hdf5 scikit-learn astropy
# ———————————————————————
# Install seaborn into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 seaborn
# ———————————————————————
# Install plotly into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 plotly
# ———————————————————————
# Install scikit-image into py360 environment – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install scikit-image -n py360
# ———————————————————————
# conda install xlwt -n py360 – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install xlwt -n py360
# ———————————————————————
# conda install openpyxl -n py360 – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install openpyxl -n py360
# ———————————————————————
# conda install graphviz -n py360 – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install graphviz -n py360
# ———————————————————————
# conda install biopython -n py360 – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install biopython -n py360
# ———————————————————————
# conda install statsmodels -n py360 – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install statsmodels -n py360
# ———————————————————————
# conda install -n py360 sympy – SUCCEEDED
# May 30, 2017
# ———————————————————————
C:\Users\Evan>conda install -n py360 sympy
# ———————————————————————
# conda install -n py360 bokeh – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 bokeh
# ———————————————————————
# conda install -n py360 cryptography – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 cryptography
# ———————————————————————
# conda install -n py360 pandas-datareader – SUCCEEDED
# ———————————————————————
C:\Users\Evan>conda install -n py360 pandas-datareader
# ———————————————————————
# pip install lxml – SUCCEEDED
# ———————————————————————
C:\Users\Evan>activate py360
[py360] C:\Users\Evan>pip install lxml
# ———————————————————————
# pip install nxpd – SUCCEEDED
# ———————————————————————
[py360] C:\Users\Evan>pip install nxpd
# ———————————————————————
# List packages in py360 environment
# ———————————————————————
C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
?[31mDEPRECATION: The default format will switch to columns in the future. You c
an use –format=(legacy|columns) (or define a format=(legacy|columns) in your pi
p.conf under the [list] section) to disable this warning.?[0m
asn1crypto 0.22.0 py36_0
astropy 1.3.2 np112py36_0
biopython 1.68 np112py36_0
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 vc14_3 [vc14]
cffi 1.10.0 py36_0
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
decorator 4.0.11 py36_0
entrypoints 0.2.2 py36_1
et-xmlfile 1.0.1 et_xmlfile 1.0.1 py36_0
freetype 2.5.5 vc14_2 [vc14]
graphviz 2.38.0 4
hdf5 1.8.17 vc14_0 [vc14]
html5lib 0.999 py36_0
icu 57.1 vc14_0 [vc14]
idna 2.5 py36_0
ipykernel 4.6.1 py36_0
ipython 6.0.0 py36_1
ipython-genutils 0.2.0 ipython_genutils 0.2.0 py36_0
ipywidgets 6.0.0 py36_0
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
jpeg 9b vc14_0 [vc14]
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter-client 5.0.1 jupyter-console 5.1.0 jupyter-core 4.3.0 jupyter_client 5.0.1 py36_0
jupyter_console 5.1.0 py36_0
jupyter_core 4.3.0 py36_0
libpng 1.6.27 vc14_0 [vc14]
libtiff 4.0.6 vc14_3 [vc14]
lxml 3.7.3 markupsafe 0.23 py36_2
matplotlib 2.0.2 np112py36_0
mistune 0.7.4 py36_0
mkl 2017.0.1 0
mpmath 0.19 py36_1
nbconvert 5.1.1 py36_0
nbformat 4.3.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numpy 1.12.1 py36_0
nxpd 0.2.0 olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2l vc14_0 [vc14]
packaging 16.8 py36_0
pandas 0.20.1 np112py36_0
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.1 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 4.1.1 py36_0
pip 9.0.1 py36_1
plotly 1.12.9 py36_0
prompt-toolkit 1.0.14 prompt_toolkit 1.0.14 py36_0
pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
python 3.6.1 2
python-dateutil 2.6.0 py36_0
pytz 2017.2 py36_0
pywavelets 0.5.2 np112py36_0
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14_4 [vc14]
qtconsole 4.3.0 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.13.0 np112py36_0
scikit-learn 0.18.1 np112py36_1
scipy 0.19.0 np112py36_0
seaborn 0.7.1 py36_0
setuptools 27.2.0 py36_1
simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.10.0 py36_0
statsmodels 0.8.0 np112py36_0
sympy 1.0 py36_0
testpath 0.3 py36_0
tk 8.5.18 vc14_0 [vc14]
tornado 4.5.1 py36_0
traitlets 4.3.2 py36_0
vs2015_runtime 14.0.25123 0
wcwidth 0.1.7 py36_0
wheel 0.29.0 py36_0
widgetsnbextension 2.0.0 py36_0
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.8 vc14_3 [vc14]
# ———————————————————————
# conda install -n py360 h5py – SUCCEEDED
# Note: hdf5 following package was DOWNGRADED from 1.8.17-vc14_0 [vc14] –> 1.8.15.1-vc14_4
# h5py need in the 650_02_On_the_time_lags_LIGO.ipynb notebook
# referenced in guest blog on Sean Carroll blog (June 23, 2017)
# June 24, 2017
# ———————————————————————
C:\Users\Evan>conda install -n py360 h5py
# ———————————————————————
# conda install -n py360 sphinx – SUCCEEDED
# June 24, 2017
# ———————————————————————
C:\Users\Evan>conda install -n py360 sphinx
# ———————————————————————
# pip install line_profiler – FAILED
# Jan 7, 2018
# ———————————————————————
[py360] c:\Python Docs\Py3_Notebooks>pip install line_profiler
Collecting line_profiler
Downloading line_profiler-2.1.2.tar.gz (83kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 92kB 682kB/s
Requirement already satisfied: IPython>=0.13 in c:\anaconda3\envs\py360\lib\site
-packages (from line_profiler)
Building wheels for collected packages: line-profiler
Running setup.py bdist_wheel for line-profiler … error
Complete output from command C:\Anaconda3\envs\py360\python.exe -u -c “import
setuptools, tokenize;__file__=’C:\\Users\\Evan\\AppData\\Local\\Temp\\pip-build-
k5jsoawx\\line-profiler\\setup.py’;f=getattr(tokenize, ‘open’, open)(__file__);c
ode=f.read().replace(‘\r\n’, ‘\n’);f.close();exec(compile(code, __file__, ‘exec’
))” bdist_wheel -d C:\Users\Evan\AppData\Local\Temp\tmp_w2560p3pip-wheel- –pyth
on-tag cp36:
Could not import Cython. Using the available pre-generated C file.
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
copying line_profiler.py -> build\lib.win-amd64-3.6
copying kernprof.py -> build\lib.win-amd64-3.6
copying line_profiler_py35.py -> build\lib.win-amd64-3.6
running build_ext
building ‘_line_profiler’ extension
error: Microsoft Visual C++ 14.0 is required. Get it with “Microsoft Visual C+
+ Build Tools”: http://landinghub.visualstudio.com/visual-cpp-build-tools
—————————————-
Failed building wheel for line-profiler
Running setup.py clean for line-profiler
Failed to build line-profiler
Installing collected packages: line-profiler
Running setup.py install for line-profiler … error
Complete output from command C:\Anaconda3\envs\py360\python.exe -u -c “impor
t setuptools, tokenize;__file__=’C:\\Users\\Evan\\AppData\\Local\\Temp\\pip-buil
d-k5jsoawx\\line-profiler\\setup.py’;f=getattr(tokenize, ‘open’, open)(__file__)
;code=f.read().replace(‘\r\n’, ‘\n’);f.close();exec(compile(code, __file__, ‘exe
c’))” install –record C:\Users\Evan\AppData\Local\Temp\pip-6rl7s19a-record\inst
all-record.txt –single-version-externally-managed –compile:
Could not import Cython. Using the available pre-generated C file.
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
copying line_profiler.py -> build\lib.win-amd64-3.6
copying kernprof.py -> build\lib.win-amd64-3.6
copying line_profiler_py35.py -> build\lib.win-amd64-3.6
running build_ext
building ‘_line_profiler’ extension
error: Microsoft Visual C++ 14.0 is required. Get it with “Microsoft Visual
C++ Build Tools”: http://landinghub.visualstudio.com/visual-cpp-build-tools
—————————————-
Command “C:\Anaconda3\envs\py360\python.exe -u -c “import setuptools, tokenize;_
_file__=’C:\\Users\\Evan\\AppData\\Local\\Temp\\pip-build-k5jsoawx\\line-profile
r\\setup.py’;f=getattr(tokenize, ‘open’, open)(__file__);code=f.read().replace(‘
\r\n’, ‘\n’);f.close();exec(compile(code, __file__, ‘exec’))” install –record C
:\Users\Evan\AppData\Local\Temp\pip-6rl7s19a-record\install-record.txt –single-
version-externally-managed –compile” failed with error code 1 in C:\Users\Evan\
AppData\Local\Temp\pip-build-k5jsoawx\line-profiler\
# ———————————————————————
# Install Microsoft Visual C++ 14.0
# setup completed SUCCESSFULLY
# Sunday, Jan 7, 2018
# ———————————————————————
https://landinghub.visualstudio.com/visual-cpp-build-tools
# ———————————————————————
# pip install line_profiler – SUCCEEDED
# re-tried after VS C++ 14 was installed.
# — seems to also require pip version 9.0.01 —-
# Jan 7, 2018
# ———————————————————————
[py360] c:\Python Docs\Py3_Notebooks>pip install line_profiler
Collecting line_profiler
Using cached line_profiler-2.1.2.tar.gz
Requirement already satisfied: IPython>=0.13 in c:\anaconda3\envs\py360\lib\site
-packages (from line_profiler)
Building wheels for collected packages: line-profiler
Running setup.py bdist_wheel for line-profiler … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\85\eb\85\974
ce8c8a1adda3d36d60a3c6522d60a526ea7a9060236de68
Successfully built line-profiler
Installing collected packages: line-profiler
Successfully installed line-profiler-2.1.2
# ———————————————————————
# pip install memory_profiler – SUCCEEDED
# — seems to also require pip version 9.0.01 —-
# Jan 7, 2018
# ———————————————————————
[py360] c:\Python Docs\Py3_Notebooks>pip install memory_profiler
Collecting memory_profiler
Downloading memory_profiler-0.51.0.tar.gz
Collecting psutil (from memory_profiler)
Downloading psutil-5.4.3-cp36-cp36m-win_amd64.whl (226kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 235kB 1.8MB/s
Building wheels for collected packages: memory-profiler
Running setup.py bdist_wheel for memory-profiler … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\06\42\33\e8a
6dce8e18272aea6c4edaf78763444089acebca373d5158f
Successfully built memory-profiler
Installing collected packages: psutil, memory-profiler
Successfully installed memory-profiler-0.51.0 psutil-5.4.3
# ———————————————————————
# pip3 install –upgrade tensorflow – FAILED
# Ref:
# Installing TensorFlow on Windows
# https://www.tensorflow.org/install/install_windows
# ———————————————————————
[py360] c:\Python Docs\Py3_Notebooks>pip3 install –upgrade tensorflow
Collecting tensorflow
Could not find a version that satisfies the requirement tensorflow (from versins: )
No matching distribution found for tensorflow
# ———————————————————————
# pip install –upgrade tensorflow – APPARENTLY SUCCEEDED
# Ref:
# Installing TensorFlow on Windows
# https://www.tensorflow.org/install/install_windows
# Note ues pip instead of pip3 as the previous (FAILED) install.
#
# Note: when I import tensorflow as tf in a Jupyter notebook, receive the following warning:
# C:\Anaconda3\envs\py360\lib\site-packages\h5py\__init__.py:34:
# FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated.
# In future, it will be treated as `np.float64 == np.dtype(float).type`.
# from ._conv import register_converters as _register_converters
# ———————————————————————
[py360] c:\Python Docs\Py3_Notebooks>pip install –upgrade tensorflow
Collecting tensorflow
Downloading tensorflow-1.5.0-cp36-cp36m-win_amd64.whl (31.1MB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 31.1MB 32kB/s
Collecting six>=1.10.0 (from tensorflow)
Downloading six-1.11.0-py2.py3-none-any.whl
Collecting absl-py>=0.1.6 (from tensorflow)
Downloading absl-py-0.1.9.tar.gz (79kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 81kB 1.8MB/s
Collecting tensorflow-tensorboard<1.6.0,>=1.5.0 (from tensorflow)
Downloading tensorflow_tensorboard-1.5.0-py3-none-any.whl (3.0MB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 3.0MB 257kB/s
Collecting numpy>=1.12.1 (from tensorflow)
Downloading numpy-1.14.0-cp36-none-win_amd64.whl (13.4MB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 13.4MB 73kB/s
Collecting protobuf>=3.4.0 (from tensorflow)
Downloading protobuf-3.5.1-py2.py3-none-any.whl (388kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 389kB 1.9MB/s
Collecting wheel>=0.26 (from tensorflow)
Downloading wheel-0.30.0-py2.py3-none-any.whl (49kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 51kB 2.2MB/s
Collecting html5lib==0.9999999 (from tensorflow-tensorboard<1.6.0,>=1.5.0->tensorflow)
Downloading html5lib-0.9999999.tar.gz (889kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 890kB 984kB/s
Collecting werkzeug>=0.11.10 (from tensorflow-tensorboard<1.6.0,>=1.5.0->tensorflow)
Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 327kB 2.0MB/s
Requirement already up-to-date: bleach==1.5.0 in c:\anaconda3\envs\py360\lib\site-packages (from tensorflow-tensorboard<1.6.0,>=1.5.0->tensorflow)
Collecting markdown>=2.6.8 (from tensorflow-tensorboard<1.6.0,>=1.5.0->tensorflow)
Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 81kB 473kB/s
Collecting futures>=3.1.1 (from tensorflow-tensorboard<1.6.0,>=1.5.0->tensorflow)
Downloading futures-3.1.1.tar.gz
Collecting setuptools (from protobuf>=3.4.0->tensorflow)
Downloading setuptools-38.4.0-py2.py3-none-any.whl (489kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 491kB 939kB/s
Building wheels for collected packages: absl-py, html5lib, futures
Running setup.py bdist_wheel for absl-py … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\04\f5\7c\5d4eab10ddf87dec875016e74ba289d87270a90fb2662a76fc
Running setup.py bdist_wheel for html5lib … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\6f\85\6c\56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Running setup.py bdist_wheel for futures … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\ad\79\48\b32521764d59b16fd1bc0ffd5862f6d3bf770c7d73ea1fb12a
Successfully built absl-py html5lib futures
Installing collected packages: six, absl-py, html5lib, wheel, werkzeug, numpy, markdown, futures, setuptools, protobuf, tensorflow-tensorboard, tensorflow
Found existing installation: six 1.10.0
DEPRECATION: Uninstalling a distutils installed project (six) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
Uninstalling six-1.10.0:
Successfully uninstalled six-1.10.0
Found existing installation: html5lib 0.999
DEPRECATION: Uninstalling a distutils installed project (html5lib) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
Uninstalling html5lib-0.999:
Successfully uninstalled html5lib-0.999
Found existing installation: wheel 0.29.0
Uninstalling wheel-0.29.0:
Successfully uninstalled wheel-0.29.0
Found existing installation: numpy 1.13.0
Uninstalling numpy-1.13.0:
Successfully uninstalled numpy-1.13.0
Found existing installation: setuptools 27.2.0
Uninstalling setuptools-27.2.0:
Successfully uninstalled setuptools-27.2.0
Successfully installed absl-py-0.1.9 futures-3.1.1 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.0 protobuf-3.5.1 setuptools-38.4.0 six-1.11.0 tensorflow-1.5.0 tensorflow-tensorboard-1.5.0 werkzeug-0.14.1 wheel-0.30.0
Traceback (most recent call last):
File “C:\Anaconda3\Scripts\..\envs\py360\Scripts\pip-script.py”, line 5, in
sys.exit(pip.main())
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\__init__.py”, line 249, in main
return command.main(cmd_args)
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\basecommand.py”, line 252, in main
pip_version_check(session)
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\utils\outdated.py”, line 102, in pip_version_check
installed_version = get_installed_version(“pip”)
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\utils\__init__.py”, line 838, in get_installed_version
working_set = pkg_resources.WorkingSet()
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 644, in __init__
self.add_entry(entry)
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 700, in add_entry
for dist in find_distributions(entry, True):
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 1949, in find_eggs_in_zip
if metadata.has_metadata(‘PKG-INFO’):
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 1463, in has_metadata
return self.egg_info and self._has(self._fn(self.egg_info, name))
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 1823, in _has
return zip_path in self.zipinfo or zip_path in self._index()
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 1703, in zipinfo
return self._zip_manifests.load(self.loader.archive)
File “C:\Anaconda3\envs\py360\lib\site-packages\pip\_vendor\pkg_resources\__init__.py”, line 1643, in load
mtime = os.stat(path).st_mtime
FileNotFoundError: [WinError 2] The system cannot find the file specified: ‘C:\\Anaconda3\\envs\\py360\\lib\\site-packages\\setuptools-27.2.0-py3.6.egg’
C:\Anaconda3\envs\py360\lib\site-packages\h5py\__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
In [2]:
# ———————————————————————
# conda update -n py360 h5py — All packages already up to date
# ———————————————————————
C:\Users\Evan>conda update -n py360 h5py
Fetching package metadata: ….
# All requested packages already installed.
# packages in environment at C:\Anaconda3\envs\py360:
#
h5py 2.7.0 np113py36_0
# ———————————————————————
# conda update -n py360 pandas — SUCCEEDED
# Friday, March 23, 2018
# ———————————————————————
C:\Users\Evan>conda update -n py360 pandas
Fetching package metadata: ….
Solving package specifications: …………………
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
mkl-2017.0.3 | 0 126.3 MB
vc-14 | 0 703 B
python-3.6.2 | 0 31.5 MB
certifi-2016.2.28 | py36_0 214 KB
numpy-1.13.1 | py36_0 3.6 MB
wincertstore-0.2 | py36_0 14 KB
python-dateutil-2.6.1 | py36_0 238 KB
setuptools-36.4.0 | py36_1 534 KB
pandas-0.20.3 | py36_0 8.1 MB
————————————————————
Total: 170.5 MB
The following NEW packages will be INSTALLED:
certifi: 2016.2.28-py36_0
vc: 14-0
wincertstore: 0.2-py36_0
The following packages will be UPDATED:
mkl: 2017.0.1-0 –> 2017.0.3-0
numpy: 1.13.0-py36_0 –> 1.13.1-py36_0
pandas: 0.20.1-np112py36_0 –> 0.20.3-py36_0
python: 3.6.1-2 –> 3.6.2-0
python-dateutil: 2.6.0-py36_0 –> 2.6.1-py36_0
setuptools: 27.2.0-py36_1 –> 36.4.0-py36_1
Proceed ([y]/n)?
Fetching packages …
mkl-2017.0.3-0 100% |###############################| Time: 0:00:30 4.28 MB/s
vc-14-0.tar.bz 100% |###############################| Time: 0:00:00 100.43 kB/s
python-3.6.2-0 100% |###############################| Time: 0:00:05 6.23 MB/s
certifi-2016.2 100% |###############################| Time: 0:00:00 2.52 MB/s
numpy-1.13.1-p 100% |###############################| Time: 0:00:00 5.44 MB/s
wincertstore-0 100% |###############################| Time: 0:00:00 800.34 kB/s
python-dateuti 100% |###############################| Time: 0:00:00 3.05 MB/s
setuptools-36. 100% |###############################| Time: 0:00:00 3.14 MB/s
pandas-0.20.3- 100% |###############################| Time: 0:00:01 6.39 MB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
# ———————————————————————
# conda install -n py360 -c conda-forge scikit-surprise — SUCCEEDED
# Friday, March 23, 2018
# ———————————————————————
C:\Users\Evan>conda install -n py360 -c conda-forge scikit-surprise
Fetching package metadata: ……
Solving package specifications: ……………………..
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
python-3.6.4 | 0 17.6 MB
certifi-2018.1.18 | py36_0 144 KB
joblib-0.11 | py36_0 194 KB
six-1.11.0 | py36_1 21 KB
setuptools-39.0.1 | py36_0 573 KB
scikit-surprise-1.0.5 | py36_0 583 KB
wheel-0.30.0 | py36_2 85 KB
————————————————————
Total: 19.2 MB
The following NEW packages will be INSTALLED:
joblib: 0.11-py36_0
scikit-surprise: 1.0.5-py36_0
The following packages will be UPDATED:
certifi: 2016.2.28-py36_0 –> 2018.1.18-py36_0
python: 3.6.2-0 –> 3.6.4-0
setuptools: 36.4.0-py36_1 –> 39.0.1-py36_0
six: 1.10.0-py36_0 –> 1.11.0-py36_1
wheel: 0.29.0-py36_0 –> 0.30.0-py36_2
Proceed ([y]/n)?
Fetching packages …
python-3.6.4-0 100% |###############################| Time: 0:00:08 2.31 MB/s
certifi-2018.1 100% |###############################| Time: 0:00:00 243.32 kB/s
joblib-0.11-py 100% |###############################| Time: 0:00:00 283.34 kB/s
six-1.11.0-py3 100% |###############################| Time: 0:00:00 230.18 kB/s
setuptools-39. 100% |###############################| Time: 0:00:01 442.89 kB/s
scikit-surpris 100% |###############################| Time: 0:00:01 493.78 kB/s
wheel-0.30.0-p 100% |###############################| Time: 0:00:00 239.56 kB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
# ———————————————————————
# List packages in py360 environment
# Friday, March 23, 2018
# ———————————————————————
C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
?[31mDEPRECATION: The default format will switch to columns in the future. You c
an use –format=(legacy|columns) (or define a format=(legacy|columns) in your pi
p.conf under the [list] section) to disable this warning.?[0m
absl-py 0.1.9 alabaster 0.7.10 py36_0
asn1crypto 0.22.0 py36_0
astropy 1.3.2 np112py36_0
babel 2.4.0 py36_0
biopython 1.68 np112py36_0
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 vc14_3 [vc14]
certifi 2018.1.18 py36_0
cffi 1.10.0 py36_0
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
decorator 4.0.11 py36_0
docutils 0.13.1 py36_0
entrypoints 0.2.2 py36_1
et-xmlfile 1.0.1 et_xmlfile 1.0.1 py36_0
freetype 2.5.5 vc14_2 [vc14]
futures 3.1.1 graphviz 2.38.0 4
h5py 2.7.0 np113py36_0
hdf5 1.8.15.1 vc14_4 [vc14]
html5lib 0.999 py36_0
icu 57.1 vc14_0 [vc14]
idna 2.5 py36_0
imagesize 0.7.1 py36_0
ipykernel 4.6.1 py36_0
ipython 6.0.0 py36_1
ipython-genutils 0.2.0 ipython_genutils 0.2.0 py36_0
ipywidgets 6.0.0 py36_0
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
joblib 0.11 py36_0
jpeg 9b vc14_0 [vc14]
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter-client 5.0.1 jupyter-console 5.1.0 jupyter-core 4.3.0 jupyter_client 5.0.1 py36_0
jupyter_console 5.1.0 py36_0
jupyter_core 4.3.0 py36_0
libpng 1.6.27 vc14_0 [vc14]
libtiff 4.0.6 vc14_3 [vc14]
line-profiler 2.1.2 lxml 3.7.3 markdown 2.6.11 markupsafe 0.23 py36_2
matplotlib 2.0.2 np112py36_0
memory-profiler 0.51.0 mistune 0.7.4 py36_0
mkl 2017.0.3 0
mpmath 0.19 py36_1
nbconvert 5.1.1 py36_0
nbformat 4.3.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numpy 1.13.1 py36_0
nxpd 0.2.0 olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2l vc14_0 [vc14]
packaging 16.8 py36_0
pandas 0.20.3 py36_0
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.1 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 4.1.1 py36_0
pip 9.0.1 py36_1
plotly 1.12.9 py36_0
prompt-toolkit 1.0.14 prompt_toolkit 1.0.14 py36_0
protobuf 3.5.1 psutil 5.4.3 pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
python 3.6.4 0
python-dateutil 2.6.1 py36_0
pytz 2017.2 py36_0
pywavelets 0.5.2 np112py36_0
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14_4 [vc14]
qtconsole 4.3.0 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.13.0 np112py36_0
scikit-learn 0.18.1 np112py36_1
scikit-surprise 1.0.5 py36_0
scipy 0.19.0 np112py36_0
seaborn 0.7.1 py36_0
setuptools 39.0.1 py36_0
simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.11.0 py36_1
snowballstemmer 1.2.1 py36_0
sphinx 1.6.2 py36_0
sphinxcontrib 1.0 py36_0
sphinxcontrib-websupport 1.0.1 py36_0
statsmodels 0.8.0 np112py36_0
sympy 1.0 py36_0
tensorflow 1.5.0 Tensorflow-tensorboard 1.5.0 testpath 0.3 py36_0
tk 8.5.18 vc14_0 [vc14]
tornado 4.5.1 py36_0
traitlets 4.3.2 py36_0
vc 14 0
vs2015_runtime 14.0.25420 0
wcwidth 0.1.7 py36_0
werkzeug 0.14.1 wheel 0.30.0 py36_2
widgetsnbextension 2.0.0 py36_0
wincertstore 0.2 py36_0
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.8 vc14_3 [vc14]
# ———————————————————————
# pip install tabulate — SUCCEEDED
# Friday, March 23, 2018
# tabulate Pretty-print tabular data in Python, a library and a command-line utility.
# BUT, tabulate NOT found when IPython notebook is launced from py360 environment.
# ———————————————————————
C:\Users\Evan>pip install tabulate
Collecting tabulate
Downloading https://files.pythonhosted.org/packages/12/c2/11d6845db5edf1295bc0
8b2f488cf5937806586afe42936c3f34c097ebdc/tabulate-0.8.2.tar.gz (45kB)
100% |################################| 51kB 1.3MB/s
Building wheels for collected packages: tabulate
Running setup.py bdist_wheel for tabulate … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\2a\85\33\2f6
da85d5f10614cbe5a625eab3b3aebfdf43e7b857f25f829
Successfully built tabulate
Installing collected packages: tabulate
Successfully installed tabulate-0.8.2
You are using pip version 9.0.1, however version 9.0.3 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ comm
and.
C:\Users\Evan>activate py360
Activating environment “”C:\Anaconda3\Scripts\..\envs”\py360″…
# ———————————————————————
# pip install tabulate into py360 environment — SUCCEEDED
# Friday, March 23, 2018
# tabulate Pretty-print tabular data in Python, a library and a command-line utility.
# ———————————————————————
[py360] C:\Users\Evan>pip install tabulate
Collecting tabulate
Downloading tabulate-0.8.2.tar.gz (45kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 51kB 1.2MB/s
Building wheels for collected packages: tabulate
Running setup.py bdist_wheel for tabulate … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\7c\fc\c4\f89
c90e8bb6a0052a4ad4a9bc30a61429fea5d3439c63e2efd
Successfully built tabulate
Installing collected packages: tabulate
Successfully installed tabulate-0.8.2
You are using pip version 9.0.1, however version 9.0.3 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ comm
and.
# ———————————————————————
# pip install numexpr into py360 environment — SUCCEEDED
# Thursday, March 29, 2018
# Numexpr is a fast numerical expression evaluator for NumPy. With it,
# expressions that operate on arrays (like “3a+4b”) are accelerated and
# use less memory than doing the same calculation in Python.
# ———————————————————————
C:\Users\Evan>activate py360
Activating environment “”C:\Anaconda3\Scripts\..\envs”\py360″…
[py360] C:\Users\Evan>pip install numexpr
Collecting numexpr
Downloading numexpr-2.6.4-cp36-none-win_amd64.whl (86kB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 92kB 2.0MB/s
Requirement already satisfied: numpy>=1.7 in c:\anaconda3\envs\py360\lib\site-pa
ckages (from numexpr)
Installing collected packages: numexpr
Successfully installed numexpr-2.6.4
You are using pip version 9.0.1, however version 9.0.3 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ command.
# ———————————————————————
# conda install -n py360 -c conda-forge jupyterlab – FAILED
# Friday, April 27, 2018
# ———————————————————————
C:\Users\Evan>conda install -n py360 -c conda-forge jupyterlab
Fetching package metadata: ..SSL verification error: [SSL: CERTIFICATE_VERIFY_FA
ILED] certificate verify failed (_ssl.c:598)
SSL verification error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify fail
ed (_ssl.c:598)
….
Solving package specifications: …………………………………………
….
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
pandoc-2.1.3 | 0 20.9 MB
decorator-4.2.1 | py36_0 17 KB
entrypoints-0.2.3 | py36_1 9 KB
jsonschema-2.6.0 | py36_1 83 KB
markupsafe-1.0 | py36_0 26 KB
mistune-0.8.3 | py_0 16 KB
pandocfilters-1.4.2 | py36_0 13 KB
parso-0.1.1 | py_0 60 KB
pyzmq-17.0.0 | py36_3 562 KB
send2trash-1.5.0 | py_0 12 KB
testpath-0.3.1 | py36_0 90 KB
tornado-5.0.1 | py36_1 655 KB
webencodings-0.5 | py36_0 19 KB
winpty-0.4.3 | vc14_2 126 KB
html5lib-1.0.1 | py_0 89 KB
jedi-0.11.1 | py36_0 306 KB
python-dateutil-2.7.0 | py_0 200 KB
pywinpty-0.5 | py36_1 67 KB
bleach-2.1.3 | py_0 24 KB
jinja2-2.10 | py36_0 184 KB
jupyter_core-4.4.0 | py_0 44 KB
terminado-0.8.1 | py36_0 21 KB
jupyter_client-5.2.3 | py36_0 200 KB
nbformat-4.4.0 | py36_0 160 KB
prompt_toolkit-1.0.15 | py36_0 339 KB
ipython-6.2.1 | py36_1 1.1 MB
nbconvert-5.3.1 | py_1 320 KB
ipykernel-4.8.2 | py36_0 149 KB
notebook-5.4.1 | py36_0 6.7 MB
jupyterlab_launcher-0.10.5 | py36_0 25 KB
jupyterlab-0.31.12 | py36_1 12.0 MB
————————————————————
Total: 44.4 MB
The following NEW packages will be INSTALLED:
jupyterlab: 0.31.12-py36_1
jupyterlab_launcher: 0.10.5-py36_0
pandoc: 2.1.3-0
parso: 0.1.1-py_0
pywinpty: 0.5-py36_1
send2trash: 1.5.0-py_0
terminado: 0.8.1-py36_0
webencodings: 0.5-py36_0
winpty: 0.4.3-vc14_2 [vc14]
The following packages will be UPDATED:
bleach: 1.5.0-py36_0 –> 2.1.3-py_0
decorator: 4.0.11-py36_0 –> 4.2.1-py36_0
entrypoints: 0.2.2-py36_1 –> 0.2.3-py36_1
html5lib: 0.999-py36_0 –> 1.0.1-py_0
ipykernel: 4.6.1-py36_0 –> 4.8.2-py36_0
ipython: 6.0.0-py36_1 –> 6.2.1-py36_1
jedi: 0.10.2-py36_2 –> 0.11.1-py36_0
jinja2: 2.9.6-py36_0 –> 2.10-py36_0
jsonschema: 2.6.0-py36_0 –> 2.6.0-py36_1
jupyter_client: 5.0.1-py36_0 –> 5.2.3-py36_0
jupyter_core: 4.3.0-py36_0 –> 4.4.0-py_0
markupsafe: 0.23-py36_2 –> 1.0-py36_0
mistune: 0.7.4-py36_0 –> 0.8.3-py_0
nbconvert: 5.1.1-py36_0 –> 5.3.1-py_1
nbformat: 4.3.0-py36_0 –> 4.4.0-py36_0
notebook: 5.0.0-py36_0 –> 5.4.1-py36_0
pandocfilters: 1.4.1-py36_0 –> 1.4.2-py36_0
prompt_toolkit: 1.0.14-py36_0 –> 1.0.15-py36_0
python-dateutil: 2.6.1-py36_0 –> 2.7.0-py_0
pyzmq: 16.0.2-py36_0 –> 17.0.0-py36_3
testpath: 0.3-py36_0 –> 0.3.1-py36_0
tornado: 4.5.1-py36_0 –> 5.0.1-py36_1
Proceed ([y]/n)?y
Error: Connection error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify fai
led (_ssl.c:598): https://conda.binstar.org/conda-forge/win-64/pandoc-2.1.3-0.ta
r.bz2
# ———————————————————————
# [py360] C:\Users\Evan>pip install jupyterlab – succeeded
# Friday, April 27, 2018
# ———————————————————————
C:\Users\Evan>activate py360
Activating environment “”C:\Anaconda3\Scripts\..\envs”\py360″…
[py360] C:\Users\Evan>pip install jupyterlab
Collecting jupyterlab
Downloading https://files.pythonhosted.org/packages/f9/4d/7fc2daa5d075659e424d
71e760f25bdd9f7966768bc232b56ce28e9a6dd2/jupyterlab-0.32.0-py2.py3-none-any.whl
(13.3MB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 13.3MB 72kB/s
Collecting jupyterlab-launcher<0.11.0,>=0.10.0 (from jupyterlab)
Downloading https://files.pythonhosted.org/packages/2f/46/105843eae616cce38ea9
5a2ddf9cdd598bc7696d474d98e89a89d9052a10/jupyterlab_launcher-0.10.5-py2.py3-none
-any.whl
Requirement already satisfied: ipython-genutils in c:\anaconda3\envs\py360\lib\s
ite-packages (from jupyterlab)
Requirement already satisfied: notebook>=4.3.1 in c:\anaconda3\envs\py360\lib\si
te-packages (from jupyterlab)
Requirement already satisfied: jsonschema>=2.6.0 in c:\anaconda3\envs\py360\lib\
site-packages (from jupyterlab-launcher<0.11.0,>=0.10.0->jupyterlab)
Installing collected packages: jupyterlab-launcher, jupyterlab
Successfully installed jupyterlab-0.32.0 jupyterlab-launcher-0.10.5
You are using pip version 9.0.1, however version 10.0.1 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ comm
and.
# ———————————————————————
# Install chocolate factory – SUCCEEDED
# Sunday, April 29, 2018
# ———————————————————————
@”%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe” -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command “iex ((New-Object System.Net.WebClient).DownloadString(‘https://chocolatey.org/install.ps1’))” && SET “PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin”
C:\Windows\system32>@”%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.ex
e” -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command “iex ((New-Obje
ct System.Net.WebClient).DownloadString(‘https://chocolatey.org/install.ps1’))”
&& SET “PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin”
Unable to set PowerShell to use TLS 1.2 and TLS 1.1 due to old .NET Framework i
nstalled. If you see underlying connection closed or trust errors, you may need
to do one or more of the following: (1) upgrade to .NET Framework 4.5+ and Pow
erShell v3, (2) specify internal Chocolatey package location (set $env:chocolat
eyDownloadUrl prior to install or host the package internally), (3) use the Dow
nload + PowerShell method of install. See https://chocolatey.org/install for al
l install options.
Getting latest version of the Chocolatey package for download.
Getting Chocolatey from https://chocolatey.org/api/v2/package/chocolatey/0.10.1
0.
Extracting C:\Users\Evan\AppData\Local\Temp\chocolatey\chocInstall\chocolatey.z
ip to C:\Users\Evan\AppData\Local\Temp\chocolatey\chocInstall…
Installing chocolatey on this machine
Creating ChocolateyInstall as an environment variable (targeting ‘Machine’)
Setting ChocolateyInstall to ‘C:\ProgramData\chocolatey’
WARNING: It’s very likely you will need to close and reopen your shell
before you can use choco.
Restricting write permissions to Administrators
We are setting up the Chocolatey package repository.
The packages themselves go to ‘C:\ProgramData\chocolatey\lib’
(i.e. C:\ProgramData\chocolatey\lib\yourPackageName).
A shim file for the command line goes to ‘C:\ProgramData\chocolatey\bin’
and points to an executable in ‘C:\ProgramData\chocolatey\lib\yourPackageName
‘.
Creating Chocolatey folders if they do not already exist.
WARNING: You can safely ignore errors related to missing log files when
upgrading from a version of Chocolatey less than 0.9.9.
‘Batch file could not be found’ is also safe to ignore.
‘The system cannot find the file specified’ – also safe.
chocolatey.nupkg file not installed in lib.
Attempting to locate it from bootstrapper.
PATH environment variable does not have C:\ProgramData\chocolatey\bin in it. Add
ing…
WARNING: Not setting tab completion: Profile file does not exist at
‘C:\Users\Evan\Documents\WindowsPowerShell\Microsoft.PowerShell_profile.ps1’.
Chocolatey (choco.exe) is now ready.
You can call choco from anywhere, command line or powershell by typing choco.
Run choco /? for a list of functions.
You may need to shut down and restart powershell and/or consoles
first prior to using choco.
Ensuring chocolatey commands are on the path
Ensuring chocolatey.nupkg is in the lib folder
# ———————————————————————
# Install curl from chocolate factory – SUCCEEDED
# C:\Windows\system32>choco install curl
#
# Sunday, April 29, 2018
# ———————————————————————
C:\Windows\system32>choco install curl
Chocolatey v0.10.10
Installing the following packages:
curl
By installing you accept licenses for the packages.
Progress: Downloading curl 7.59.0… 100%
curl v7.59.0 [Approved]
curl package files install completed. Performing other installation steps.
The package curl wants to run ‘chocolateyInstall.ps1’.
Note: If you don’t run this script, the installation will fail.
Note: To confirm automatically next time, use ‘-y’ or consider:
choco feature enable -n allowGlobalConfirmation
Do you want to run the script?([Y]es/[N]o/[P]rint): y
Installing 64 bit version
ShimGen has successfully created a shim for curl.exe
The install of curl was successful.
Software install location not explicitly set, could be in package or
default install location if installer.
# ———————————————————————
# Download the openrecipes database to the c:\downloads folder
# Sunday, April 29, 2018
# ———————————————————————
c:\Downloads>C:\ProgramData\chocolatey\bin\curl -O https://s3.amazonaws.com/open
recipes/20170107-061401-recipeitems.json.gz
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 29.3M 100 29.3M 0 0 1869k 0 0:00:16 0:00:16 –:–:– 2096k
# ———————————————————————
# Remove and (re)-install Jupyter notebook
# Try to repair the latex capability which seems to have been deleted
# when I installed Norton Utilities on Thursday, August 2, 2018
#
# Monday, August 6, 2018
# ———————————————————————
c:\>conda remove jupyter -n py360
Fetching package metadata: ….
Package plan for package removal in environment C:\Anaconda3\envs\py360:
The following packages will be REMOVED:
jupyter: 1.0.0-py36_3
Proceed ([y]/n)? y
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
c:\>conda install jupyter -n py360
Fetching package metadata: ….
Solving package specifications: …………………………………………
………………
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
zlib-1.2.11 | vc14_0 119 KB
decorator-4.1.2 | py36_0 15 KB
entrypoints-0.2.3 | py36_0 10 KB
libpng-1.6.30 | vc14_1 503 KB
markupsafe-1.0 | py36_0 28 KB
pandocfilters-1.4.2 | py36_0 13 KB
testpath-0.3.1 | py36_0 15 KB
tornado-4.5.2 | py36_0 631 KB
html5lib-0.9999999 | py36_0 178 KB
prompt_toolkit-1.0.15 | py36_0 340 KB
qt-5.6.2 | vc14_6 55.5 MB
ipython-6.1.0 | py36_0 1.0 MB
jupyter_client-5.1.0 | py36_0 139 KB
nbformat-4.4.0 | py36_0 137 KB
nbconvert-5.2.1 | py36_0 411 KB
jupyter_console-5.2.0 | py36_0 52 KB
qtconsole-4.3.1 | py36_0 197 KB
widgetsnbextension-3.0.2 | py36_0 2.0 MB
————————————————————
Total: 61.2 MB
The following NEW packages will be INSTALLED:
jupyter: 1.0.0-py36_3
The following packages will be UPDATED:
decorator: 4.0.11-py36_0 –> 4.1.2-py36_0
entrypoints: 0.2.2-py36_1 –> 0.2.3-py36_0
html5lib: 0.999-py36_0 –> 0.9999999-py36_0
ipython: 6.0.0-py36_1 –> 6.1.0-py36_0
jupyter_client: 5.0.1-py36_0 –> 5.1.0-py36_0
jupyter_console: 5.1.0-py36_0 –> 5.2.0-py36_0
libpng: 1.6.27-vc14_0 –> 1.6.30-vc14_1
markupsafe: 0.23-py36_2 –> 1.0-py36_0
nbconvert: 5.1.1-py36_0 –> 5.2.1-py36_0
nbformat: 4.3.0-py36_0 –> 4.4.0-py36_0
pandocfilters: 1.4.1-py36_0 –> 1.4.2-py36_0
prompt_toolkit: 1.0.14-py36_0 –> 1.0.15-py36_0
qt: 5.6.2-vc14_4 –> 5.6.2-vc14_6
qtconsole: 4.3.0-py36_0 –> 4.3.1-py36_0
testpath: 0.3-py36_0 –> 0.3.1-py36_0
tornado: 4.5.1-py36_0 –> 4.5.2-py36_0
widgetsnbextension: 2.0.0-py36_0 –> 3.0.2-py36_0
zlib: 1.2.8-vc14_3 –> 1.2.11-vc14_0
The following packages will be DOWNGRADED:
certifi: 2018.1.18-py36_0 –> 2016.2.28-py36_0
python: 3.6.4-0 –> 3.6.2-0
setuptools: 39.0.1-py36_0 –> 36.4.0-py36_1
six: 1.11.0-py36_1 –> 1.10.0-py36_0
wheel: 0.30.0-py36_2 –> 0.29.0-py36_0
Proceed ([y]/n)? y
Fetching packages …
zlib-1.2.11-vc 100% |###############################| Time: 0:00:00 2.18 MB/s
decorator-4.1. 100% |###############################| Time: 0:00:00 1.13 MB/s
entrypoints-0. 100% |###############################| Time: 0:00:00 1.22 MB/s
libpng-1.6.30- 100% |###############################| Time: 0:00:00 3.37 MB/s
markupsafe-1.0 100% |###############################| Time: 0:00:00 1.41 MB/s
pandocfilters- 100% |###############################| Time: 0:00:00 1.84 MB/s
testpath-0.3.1 100% |###############################| Time: 0:00:00 978.25 kB/s
tornado-4.5.2- 100% |###############################| Time: 0:00:00 3.87 MB/s
html5lib-0.999 100% |###############################| Time: 0:00:00 2.72 MB/s
prompt_toolkit 100% |###############################| Time: 0:00:00 2.88 MB/s
qt-5.6.2-vc14_ 100% |###############################| Time: 0:00:10 5.78 MB/s
ipython-6.1.0- 100% |###############################| Time: 0:00:00 4.22 MB/s
jupyter_client 100% |###############################| Time: 0:00:00 686.10 kB/s
nbformat-4.4.0 100% |###############################| Time: 0:00:00 2.33 MB/s
nbconvert-5.2. 100% |###############################| Time: 0:00:00 4.21 MB/s
jupyter_consol 100% |###############################| Time: 0:00:00 1.66 MB/s
qtconsole-4.3. 100% |###############################| Time: 0:00:00 2.80 MB/s
widgetsnbexten 100% |###############################| Time: 0:00:00 4.30 MB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
1 file(s) copied.########################### | 58%
Active code page: 437
menuinst Exception:Traceback (most recent call last):### | 66%
File “C:\Anaconda3\lib\site-packages\conda\install.py”, line 338, in mk_menus
menuinst.install(join(prefix, f), remove, prefix)
File “C:\Anaconda3\lib\site-packages\menuinst\__init__.py”, line 40, in instal
l
m.create()
File “C:\Anaconda3\lib\site-packages\menuinst\win32.py”, line 45, in create
os.mkdir(self.path)
PermissionError: [WinError 5] Access is denied: ‘C:\\ProgramData\\Microsoft\\Win
dows\\Start Menu\\Programs\\Anaconda${PY_VER} ${PLATFORM}’
menuinst Exception:Traceback (most recent call last):############# | 87%
File “C:\Anaconda3\lib\site-packages\conda\install.py”, line 338, in mk_menus
menuinst.install(join(prefix, f), remove, prefix)
File “C:\Anaconda3\lib\site-packages\menuinst\__init__.py”, line 40, in instal
l
m.create()
File “C:\Anaconda3\lib\site-packages\menuinst\win32.py”, line 45, in create
os.mkdir(self.path)
PermissionError: [WinError 5] Access is denied: ‘C:\\ProgramData\\Microsoft\\Win
dows\\Start Menu\\Programs\\Anaconda${PY_VER} ${PLATFORM}’
[ COMPLETE ]|##################################################| 100%
# ———————————————————————
# Successfully pip installed theano intp py360 environoment
# BUT, the statement import theano FAILS in Jupyter Notebook
# needs to have mingw libpython packages installed (see next section)
# BUT, still didn’t work
#
# UNINSTALLED pip uninstall theano
# used conda install which seems to work with 2 warnings
# Tuesday, August 21, 2018
# ———————————————————————
C:\Users\Evan>activate py360
Activating environment “”C:\Anaconda3\Scripts\..\envs”\py360″…
[py360] C:\Users\Evan>pip install theano
Collecting theano
Downloading https://files.pythonhosted.org/packages/99/dd/e43e3da5dd52f1468def
552ed3e752bfd6958369478cc906ff07b21af92e/Theano-1.0.2.tar.gz (2.8MB)
100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 2.8MB 304kB/s
Requirement already satisfied: numpy>=1.9.1 in c:\anaconda3\envs\py360\lib\site-
packages (from theano)
Requirement already satisfied: scipy>=0.14 in c:\anaconda3\envs\py360\lib\site-p
ackages (from theano)
Requirement already satisfied: six>=1.9.0 in c:\anaconda3\envs\py360\lib\site-pa
ckages (from theano)
Building wheels for collected packages: theano
Running setup.py bdist_wheel for theano … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\87\1e\28\4a6
3195927452fb42d4ea6d1e5b3b1690409d66802cc9e1e6e
Successfully built theano
Installing collected packages: theano
Successfully installed theano-1.0.2
You are using pip version 9.0.1, however version 18.0 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ comm
and.
# ———————————————————————
# Ref: How to install Theano in your anaconda environment?
# url: https://medium.com/@xuweimdm/how-to-install-theano-in-your-anaconda-environment-7fd78769c05f
#
# Tuesday, August 21, 2018
# ———————————————————————
# ———————————————————————
# Successful: conda install mingw libpython -n py360
# these packages are needed by theano
#
# Tuesday, August 21, 2018
# ———————————————————————
C:\Users\Evan>conda install mingw libpython -n py360
Fetching package metadata: ….
Solving package specifications: …………..
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
libpython-2.0 | py36_0 44 KB
The following NEW packages will be INSTALLED:
libpython: 2.0-py36_0
mingw: 4.7-1
Proceed ([y]/n)? y
Fetching packages …
libpython-2.0- 100% |###############################| Time: 0:00:00 1.25 MB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
C:\Users\Evan>conda config –add channels anaconda
C:\Users\Evan>conda config –add channels conda-forge
WARNING (theano.configdefaults): install mkl with `conda install mkl-service`: No module named ‘mkl’
WARNING (theano.Tensor.blas): Using NumPy C-API based implementation for BLAS functions.
C:\Users\Evan>conda install theano -n py360
Fetching package metadata: ……..
Solving package specifications: ……………………………….
Warning: 16 possible package resolutions (only showing differing packages):
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36h452e1ab_0.ta
r.bz2’, ‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36_1.tar.bz2’],
[‘markupsafe-1.0-py36hfa6e2cd_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-he025d50_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
[‘markupsafe-1.0-py36h0e26971_1.tar.bz2’, ‘pygpu-0.7.6-py36_0.tar.bz2’,
‘python-3.6.6-hea74fb7_0.tar.bz2’, ‘six-1.11.0-py36h4db2310_1.tar.bz2’],
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
icc_rt-2017.0.4 | h97af966_0 8.0 MB
intel-openmp-2018.0.3 | 0 1.7 MB
libgpuarray-0.7.6 | vc14_0 317 KB
vs2015_runtime-15.5.2 | 3 2.2 MB
mkl-2018.0.3 | 1 178.1 MB
vc-14.1 | h0510ff6_3 5 KB
blas-1.0 | mkl 1 KB
python-3.6.6 | hea74fb7_0 21.6 MB
certifi-2018.8.13 | py36_0 138 KB
markupsafe-1.0 | py36h0e26971_1 27 KB
numpy-base-1.15.0 | py36h4a99626_0 3.9 MB
six-1.11.0 | py36h4db2310_1 21 KB
wincertstore-0.2 | py36_2 13 KB
mako-1.0.7 | py_1 57 KB
setuptools-40.0.0 | py36_1 570 KB
wheel-0.31.1 | py36_1 79 KB
pip-18.0 | py36_1 1.8 MB
mkl_fft-1.0.6 | py36_0 121 KB
mkl_random-1.0.1 | py36h77b88f5_1 268 KB
numpy-1.15.0 | py36h9fa60d3_0 36 KB
pygpu-0.7.6 | py36h452e1ab_0 583 KB
scipy-1.1.0 | py36h672f292_0 13.5 MB
theano-1.0.2 | py36_0 3.7 MB
————————————————————
Total: 236.7 MB
The following NEW packages will be INSTALLED:
blas: 1.0-mkl
icc_rt: 2017.0.4-h97af966_0
intel-openmp: 2018.0.3-0
libgpuarray: 0.7.6-vc14_0 [vc14]
mako: 1.0.7-py_1
mkl_fft: 1.0.6-py36_0
mkl_random: 1.0.1-py36h77b88f5_1
numpy-base: 1.15.0-py36h4a99626_0
pygpu: 0.7.6-py36h452e1ab_0
theano: 1.0.2-py36_0
The following packages will be UPDATED:
certifi: 2016.2.28-py36_0 –> 2018.8.13-py36_0
markupsafe: 1.0-py36_0 –> 1.0-py36h0e26971_1
mkl: 2017.0.3-0 –> 2018.0.3-1
numpy: 1.13.1-py36_0 –> 1.15.0-py36h9fa60d3_0
pip: 9.0.1-py36_1 –> 18.0-py36_1
python: 3.6.2-0 –> 3.6.6-hea74fb7_0
scipy: 0.19.0-np112py36_0 –> 1.1.0-py36h672f292_0
setuptools: 36.4.0-py36_1 –> 40.0.0-py36_1
six: 1.10.0-py36_0 –> 1.11.0-py36h4db2310_1
vc: 14-0 –> 14.1-h0510ff6_3
vs2015_runtime: 14.0.25420-0 –> 15.5.2-3
wheel: 0.29.0-py36_0 –> 0.31.1-py36_1
wincertstore: 0.2-py36_0 –> 0.2-py36_2
Proceed ([y]/n)? y
Fetching packages …
icc_rt-2017.0. 100% |###############################| Time: 0:00:08 1.04 MB/s
intel-openmp-2 100% |###############################| Time: 0:00:02 846.62 kB/s
libgpuarray-0. 100% |###############################| Time: 0:00:00 451.37 kB/s
vs2015_runtime 100% |###############################| Time: 0:00:02 921.51 kB/s
mkl-2018.0.3-1 100% |###############################| Time: 0:01:25 2.19 MB/s
vc-14.1-h0510f 100% |###############################| Time: 0:00:00 513.55 kB/s
blas-1.0-mkl.t 100% |###############################| Time: 0:00:00 198.55 kB/s
python-3.6.6-h 100% |###############################| Time: 0:00:12 1.88 MB/s
certifi-2018.8 100% |###############################| Time: 0:00:00 258.87 kB/s
markupsafe-1.0 100% |###############################| Time: 0:00:00 275.77 kB/s
numpy-base-1.1 100% |###############################| Time: 0:00:02 1.42 MB/s
six-1.11.0-py3 100% |###############################| Time: 0:00:00 216.07 kB/s
wincertstore-0 100% |###############################| Time: 0:00:00 173.95 kB/s
mako-1.0.7-py_ 100% |###############################| Time: 0:00:00 206.07 kB/s
setuptools-40. 100% |###############################| Time: 0:00:00 667.03 kB/s
wheel-0.31.1-p 100% |###############################| Time: 0:00:00 232.55 kB/s
pip-18.0-py36_ 100% |###############################| Time: 0:00:01 1.08 MB/s
mkl_fft-1.0.6- 100% |###############################| Time: 0:00:00 330.61 kB/s
mkl_random-1.0 100% |###############################| Time: 0:00:00 340.59 kB/s
numpy-1.15.0-p 100% |###############################| Time: 0:00:00 227.92 kB/s
pygpu-0.7.6-py 100% |###############################| Time: 0:00:01 486.99 kB/s
scipy-1.1.0-py 100% |###############################| Time: 0:00:06 2.16 MB/s
theano-1.0.2-p 100% |###############################| Time: 0:00:02 1.45 MB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
C:\Users\Evan>
# ———————————————————————
# SUCCEEDED install mkl-service -n py360
#
# the ‘import theano’ statement warns that this package is needed
# Wednesday, Aug 22, 2018
# ———————————————————————
C:\Users\Evan>conda install mkl-service -n py360
Fetching package metadata: ……..
Solving package specifications: ……………………..
Warning: 4 possible package resolutions (only showing differing packages):
[‘mkl-service-1.1.2-py36hb217b18_4.tar.bz2’, ‘python-3.6.6-hea74fb7_0.ta
r.bz2’],
[‘mkl-service-1.1.2-py36hb217b18_4.tar.bz2’, ‘python-3.6.6-he025d50_0.ta
r.bz2’],
[‘mkl-service-1.1.2-py36h57e144c_4.tar.bz2’, ‘python-3.6.6-he025d50_0.ta
r.bz2’],
[‘mkl-service-1.1.2-py36h57e144c_4.tar.bz2’, ‘python-3.6.6-hea74fb7_0.ta
r.bz2’],
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be downloaded:
package | build
—————————|—————–
mkl-service-1.1.2 | py36hb217b18_4 13 KB
The following NEW packages will be INSTALLED:
mkl-service: 1.1.2-py36hb217b18_4
Proceed ([y]/n)? y
Fetching packages …
mkl-service-1. 100% |###############################| Time: 0:00:00 125.65 kB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
# ———————————————————————
# FAILED to update seaborn
# Saturday, September 1, 2018
# ———————————————————————
C:\Users\Evan>conda update seaborn -n py360
Fetching package metadata: ……..
Solving package specifications: ……………………..
Error: Unsatisfiable package specifications.
Generating hint:
An unexpected error has occurred, please consider sending the | 0%
following traceback to the conda GitHub issue tracker at:
https://github.com/conda/conda/issues
Include the output of the command ‘conda info’ in your report.
Traceback (most recent call last):
File “C:\Anaconda3\Scripts\conda-script.py”, line 4, in
sys.exit(main())
File “C:\Anaconda3\lib\site-packages\conda\cli\main.py”, line 195, in main
args_func(args, p)
File “C:\Anaconda3\lib\site-packages\conda\cli\main.py”, line 202, in args_fun
c
args.func(args, p)
File “C:\Anaconda3\lib\site-packages\conda\cli\main_update.py”, line 48, in ex
ecute
install.install(args, parser, ‘update’)
File “C:\Anaconda3\lib\site-packages\conda\cli\install.py”, line 333, in insta
ll
update_deps=args.update_deps)
File “C:\Anaconda3\lib\site-packages\conda\plan.py”, line 411, in install_acti
ons
update_deps=update_deps):
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 1057, in solve
installed, minimal_hint=minimal_hint, update_deps=update_deps)
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 842, in solve2
sys.exit(self.guess_bad_solve(specs, features))
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 927, in guess_bad
_solve
hint = minimal_unsatisfiable_subset(specs, sat=sat, log=True)
File “C:\Anaconda3\lib\site-packages\conda\logic.py”, line 735, in minimal_uns
atisfiable_subset
ret = minimal_unsat(clauses)
File “C:\Anaconda3\lib\site-packages\conda\logic.py”, line 717, in minimal_uns
at
if not sat(A + include):
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 922, in sat
self.solve2(specs, features, guess=False, unsat_only=True)
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 819, in solve2
clauses = set(self.gen_clauses(v, dists, specs, features))
File “C:\Anaconda3\lib\site-packages\conda\resolve.py”, line 624, in gen_claus
es
assert len(clause) > 1, ‘%s %r’ % (fn1, ms)
AssertionError: scipy-1.1.0-py27h2df7626_1.tar.bz2 MatchSpec(‘numpy >=1.15.1,<2.0a0’) # ——————————————————————— # List packages in py360 environment # ——————————————————————— C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
Could not extract name and version from: ‘Package Version’
Could not extract name and version from: ‘———————— ———‘
Could not extract name and version from: ‘absl-py 0.1.9’
Could not extract name and version from: ‘alabaster 0.7.10’
Could not extract name and version from: ‘asn1crypto 0.22.0’
Could not extract name and version from: ‘astropy 1.3.2’
Could not extract name and version from: ‘Babel 2.4.0’
Could not extract name and version from: ‘biopython 1.68’
Could not extract name and version from: ‘bleach 1.5.0’
Could not extract name and version from: ‘bokeh 0.12.5’
Could not extract name and version from: ‘certifi 2018.8.13’
Could not extract name and version from: ‘cffi 1.10.0’
Could not extract name and version from: ‘colorama 0.3.9’
Could not extract name and version from: ‘cryptography 1.8.1’
Could not extract name and version from: ‘cycler 0.10.0’
Could not extract name and version from: ‘decorator 4.1.2’
Could not extract name and version from: ‘docutils 0.13.1’
Could not extract name and version from: ‘entrypoints 0.2.3’
Could not extract name and version from: ‘et-xmlfile 1.0.1’
Could not extract name and version from: ‘futures 3.1.1’
Could not extract name and version from: ‘h5py 2.7.0’
Could not extract name and version from: ‘html5lib 0.9999999’
Could not extract name and version from: ‘idna 2.5’
Could not extract name and version from: ‘imagesize 0.7.1’
Could not extract name and version from: ‘ipykernel 4.6.1’
Could not extract name and version from: ‘ipython 6.1.0’
Could not extract name and version from: ‘ipython-genutils 0.2.0’
Could not extract name and version from: ‘ipywidgets 6.0.0’
Could not extract name and version from: ‘jdcal 1.3’
Could not extract name and version from: ‘jedi 0.10.2’
Could not extract name and version from: ‘Jinja2 2.9.6’
Could not extract name and version from: ‘joblib 0.11’
Could not extract name and version from: ‘jsonschema 2.6.0’
Could not extract name and version from: ‘jupyter 1.0.0’
Could not extract name and version from: ‘jupyter-client 5.1.0’
Could not extract name and version from: ‘jupyter-console 5.2.0’
Could not extract name and version from: ‘jupyter-core 4.3.0’
Could not extract name and version from: ‘jupyterlab 0.32.0’
Could not extract name and version from: ‘jupyterlab-launcher 0.10.5’
Could not extract name and version from: ‘line-profiler 2.1.2’
Could not extract name and version from: ‘lxml 3.7.3’
Could not extract name and version from: ‘Markdown 2.6.11’
Could not extract name and version from: ‘MarkupSafe 1.0’
Could not extract name and version from: ‘matplotlib 2.0.2’
Could not extract name and version from: ‘memory-profiler 0.51.0’
Could not extract name and version from: ‘mistune 0.7.4’
Could not extract name and version from: ‘mkl-fft 1.0.6’
Could not extract name and version from: ‘mkl-random 1.0.1’
Could not extract name and version from: ‘mpmath 0.19’
Could not extract name and version from: ‘nbconvert 5.2.1’
Could not extract name and version from: ‘nbformat 4.4.0’
Could not extract name and version from: ‘networkx 1.11’
Could not extract name and version from: ‘notebook 5.0.0’
Could not extract name and version from: ‘numexpr 2.6.4’
Could not extract name and version from: ‘numpy 1.15.0’
Could not extract name and version from: ‘nxpd 0.2.0’
Could not extract name and version from: ‘olefile 0.44’
Could not extract name and version from: ‘openpyxl 2.4.7’
Could not extract name and version from: ‘packaging 16.8’
Could not extract name and version from: ‘pandas 0.20.3’
Could not extract name and version from: ‘pandas-datareader 0.2.1’
Could not extract name and version from: ‘pandocfilters 1.4.2’
Could not extract name and version from: ‘path.py 10.3.1’
Could not extract name and version from: ‘patsy 0.4.1’
Could not extract name and version from: ‘pickleshare 0.7.4’
Could not extract name and version from: ‘Pillow 4.1.1’
Could not extract name and version from: ‘pip 18.0’
Could not extract name and version from: ‘plotly 1.12.9’
Could not extract name and version from: ‘prompt-toolkit 1.0.15’
Could not extract name and version from: ‘protobuf 3.5.1’
Could not extract name and version from: ‘psutil 5.4.3’
Could not extract name and version from: ‘pycparser 2.17’
Could not extract name and version from: ‘Pygments 2.2.0’
Could not extract name and version from: ‘pygpu 0.7.6’
Could not extract name and version from: ‘pyparsing 2.1.4’
Could not extract name and version from: ‘python-dateutil 2.6.1’
Could not extract name and version from: ‘pytz 2017.2’
Could not extract name and version from: ‘PyWavelets 0.5.2’
Could not extract name and version from: ‘PyYAML 3.12’
Could not extract name and version from: ‘pyzmq 16.0.2’
Could not extract name and version from: ‘qtconsole 4.3.1’
Could not extract name and version from: ‘requests 2.14.2’
Could not extract name and version from: ‘requests-file 1.4.1’
Could not extract name and version from: ‘scikit-image 0.13.0’
Could not extract name and version from: ‘scikit-learn 0.18.1’
Could not extract name and version from: ‘scikit-surprise 1.0.5’
Could not extract name and version from: ‘scipy 1.1.0’
Could not extract name and version from: ‘seaborn 0.7.1’
Could not extract name and version from: ‘setuptools 40.0.0’
Could not extract name and version from: ‘simplegeneric 0.8.1’
Could not extract name and version from: ‘six 1.11.0’
Could not extract name and version from: ‘snowballstemmer 1.2.1’
Could not extract name and version from: ‘sphinx 1.6.2’
Could not extract name and version from: ‘sphinxcontrib-websupport 1.0.1’
Could not extract name and version from: ‘statsmodels 0.8.0’
Could not extract name and version from: ‘sympy 1.0’
Could not extract name and version from: ‘tabulate 0.8.2’
Could not extract name and version from: ‘tensorflow 1.5.0’
Could not extract name and version from: ‘tensorflow-tensorboard 1.5.0’
Could not extract name and version from: ‘testpath 0.3’
Could not extract name and version from: ‘Theano 1.0.2’
Could not extract name and version from: ‘tornado 4.5.2’
Could not extract name and version from: ‘traitlets 4.3.2’
Could not extract name and version from: ‘wcwidth 0.1.7’
Could not extract name and version from: ‘Werkzeug 0.14.1’
Could not extract name and version from: ‘wheel 0.31.1’
Could not extract name and version from: ‘widgetsnbextension 3.0.2’
Could not extract name and version from: ‘wincertstore 0.2’
Could not extract name and version from: ‘xlrd 1.0.0’
Could not extract name and version from: ‘xlwt 1.2.0’
alabaster 0.7.10 py36_0
asn1crypto 0.22.0 py36_0
astropy 1.3.2 np112py36_0
babel 2.4.0 py36_0
biopython 1.68 np112py36_0
blas 1.0 mkl
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 vc14_3 [vc14]
certifi 2018.8.13 py36_0
cffi 1.10.0 py36_0
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
decorator 4.1.2 py36_0
docutils 0.13.1 py36_0
entrypoints 0.2.3 py36_0
et_xmlfile 1.0.1 py36_0
freetype 2.5.5 vc14_2 [vc14]
graphviz 2.38.0 4
h5py 2.7.0 np113py36_0
hdf5 1.8.15.1 vc14_4 [vc14]
html5lib 0.9999999 py36_0
icc_rt 2017.0.4 h97af966_0
icu 57.1 vc14_0 [vc14]
idna 2.5 py36_0
imagesize 0.7.1 py36_0
intel-openmp 2018.0.3 0
ipykernel 4.6.1 py36_0
ipython 6.1.0 py36_0
ipython_genutils 0.2.0 py36_0
ipywidgets 6.0.0 py36_0
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
joblib 0.11 py36_0
jpeg 9b vc14_0 [vc14]
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter_client 5.1.0 py36_0
jupyter_console 5.2.0 py36_0
jupyter_core 4.3.0 py36_0
libgpuarray 0.7.6 vc14_0 [vc14]
libpng 1.6.30 vc14_1 [vc14]
libpython 2.0 py36_0
libtiff 4.0.6 vc14_3 [vc14]
mako 1.0.7 py_1
markupsafe 1.0 py36h0e26971_1
matplotlib 2.0.2 np112py36_0
mingw 4.7 1
mistune 0.7.4 py36_0
mkl 2018.0.3 1
mkl-service 1.1.2 py36hb217b18_4
mkl_fft 1.0.6 py36_0
mkl_random 1.0.1 py36h77b88f5_1
mpmath 0.19 py36_1
nbconvert 5.2.1 py36_0
nbformat 4.4.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numpy 1.15.0 py36h9fa60d3_0
numpy-base 1.15.0 py36h4a99626_0
olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2l vc14_0 [vc14]
packaging 16.8 py36_0
pandas 0.20.3 py36_0
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.2 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 4.1.1 py36_0
pip 18.0 py36_1
plotly 1.12.9 py36_0
prompt_toolkit 1.0.15 py36_0
pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pygpu 0.7.6 py36h452e1ab_0
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
python 3.6.6 hea74fb7_0
python-dateutil 2.6.1 py36_0
pytz 2017.2 py36_0
pywavelets 0.5.2 np112py36_0
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14_6 [vc14]
qtconsole 4.3.1 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.13.0 np112py36_0
scikit-learn 0.18.1 np112py36_1
scikit-surprise 1.0.5 py36_0
scipy 1.1.0 py36h672f292_0
seaborn 0.7.1 py36_0
setuptools 40.0.0 py36_1
simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.11.0 py36h4db2310_1
snowballstemmer 1.2.1 py36_0
sphinx 1.6.2 py36_0
sphinxcontrib 1.0 py36_0
sphinxcontrib-websupport 1.0.1 py36_0
statsmodels 0.8.0 np112py36_0
sympy 1.0 py36_0
testpath 0.3.1 py36_0
theano 1.0.2 py36_0
tk 8.5.18 vc14_0 [vc14]
tornado 4.5.2 py36_0
traitlets 4.3.2 py36_0
vc 14.1 h0510ff6_3
vs2015_runtime 15.5.2 3
wcwidth 0.1.7 py36_0
wheel 0.31.1 py36_1
widgetsnbextension 3.0.2 py36_0
wincertstore 0.2 py36_2
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.11 vc14_0 [vc14]
# ———————————————————————
# conda info at time of traceback
# Saturday Sept 1, 2018
# ———————————————————————
C:\Users\Evan>conda info
Current conda install:
platform : win-64
conda version : 3.18.3
conda-build version : 1.3.5
python version : 3.4.1.final.0
requests version : 2.8.1
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
package cache : C:\Anaconda3\pkgs
channel URLs : https://conda.binstar.org/conda-forge/win-64/
https://conda.binstar.org/conda-forge/noarch/
https://conda.binstar.org/anaconda/win-64/
https://conda.binstar.org/anaconda/noarch/
https://repo.continuum.io/pkgs/free/win-64/
https://repo.continuum.io/pkgs/free/noarch/
https://repo.continuum.io/pkgs/pro/win-64/
https://repo.continuum.io/pkgs/pro/noarch/
config file : C:\Users\Evan\.condarc
is foreign system : False
# ———————————————————————
# Per following email from Kale Franz (re: failure to update seaborn)
#
You cannot use conda-forge with conda 3.18.3.
That version is nearly 3 years old.
You need to remove conda-forge from your channels list,
and then conda update conda.
#
# 1) removed from config file C:\Users\Evan\.condarc
# 2) use conda info to verfy that the conda-forge channel is removed
# 3) use conda update conda to update to conda 4.3.30
#
# Channels ( https://conda.io/docs/glossary.html#channels )
# ——–
# The locations of the repositories where conda looks for packages.
# Channels may point to a Cloud repository or a private location on a remote or local repository that you or your organization created.
# The conda channel command has a default set of channels to search,
# beginning with https://repo.continuum.io/pkgs/, which you may override, for example, to maintain a private or internal channel.
# These default channels are referred to in conda commands and in the .condarc file by the channel name “defaults.”
#
# .condarc ( https://conda.io/docs/glossary.html#condarc )
# ——–
# The Conda Runtime Configuration file, an optional .yaml file that allows you to configure many aspects of conda,
# such as which channels it searches for packages, proxy settings and environment directories.
# A .condarc file is not included by default, but it is automatically created in your home directory when you use the conda config command.
# The .condarc file can also be located in a root environment, in which case it overrides any .condarc in the home directory.
# For more information,
# see Using the .condarc conda configuration file and Administering a multi-user conda installation. Pronounced “conda r-c”.
#
# Sunday, September 2, 2018
#
# documentation for ‘Using the .condarc conda configuration file’
# https://conda.io/docs/user-guide/configuration/use-condarc.html
# ———————————————————————
# ———————————————————————
# conda info after REMOVING conda-forge from conda runtime configuration file
# Saturday Sept 2, 2018
# ———————————————————————
:\Users\Evan>conda info
Current conda install:
platform : win-64
conda version : 3.18.3
conda-build version : 1.3.5
python version : 3.4.1.final.0
requests version : 2.8.1
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
package cache : C:\Anaconda3\pkgs
channel URLs : https://conda.binstar.org/anaconda/win-64/
https://conda.binstar.org/anaconda/noarch/
https://repo.continuum.io/pkgs/free/win-64/
https://repo.continuum.io/pkgs/free/noarch/
https://repo.continuum.io/pkgs/pro/win-64/
https://repo.continuum.io/pkgs/pro/noarch/
config file : C:\Users\Evan\.condarc
is foreign system : False
C:\Users\Evan>conda update conda
Fetching package metadata: ……
Solving package specifications: ………………..
Warning: 2 possible package resolutions (only showing differing packages):
[‘conda-env-2.6.0-h36134e3_1.tar.bz2’],
[‘conda-env-2.6.0-1.tar.bz2’],
Package plan for installation in environment C:\Anaconda3:
The following packages will be downloaded:
package | build
—————————|—————–
conda-env-2.6.0 | h36134e3_1 3 KB
vs2010_runtime-10.00.40219.1| 2 1.1 MB
vc-10 | 0 702 B
openssl-1.0.2l | vc10_0 4.5 MB
python-3.4.5 | 0 22.9 MB
asn1crypto-0.22.0 | py34_0 150 KB
idna-2.6 | py34_0 124 KB
pycosat-0.6.2 | py34_0 88 KB
pycparser-2.18 | py34_0 171 KB
pyparsing-2.2.0 | py34_0 97 KB
pywin32-220 | py34_2 13.6 MB
requests-2.14.2 | py34_0 706 KB
ruamel_yaml-0.11.14 | py34_1 220 KB
setuptools-27.2.0 | py34_1 762 KB
six-1.10.0 | py34_0 17 KB
wheel-0.29.0 | py34_0 123 KB
cffi-1.10.0 | py34_0 130 KB
menuinst-1.4.7 | py34_0 89 KB
packaging-16.8 | py34_0 31 KB
pip-9.0.1 | py34_1 1.7 MB
cryptography-1.8.1 | py34_0 341 KB
pyopenssl-17.0.0 | py34_0 76 KB
conda-4.3.30 | py34h3ba59da_0 545 KB
————————————————————
Total: 47.4 MB
The following NEW packages will be INSTALLED:
asn1crypto: 0.22.0-py34_0
cffi: 1.10.0-py34_0
cryptography: 1.8.1-py34_0
idna: 2.6-py34_0
openssl: 1.0.2l-vc10_0
packaging: 16.8-py34_0
pyopenssl: 17.0.0-py34_0
pywin32: 220-py34_2
ruamel_yaml: 0.11.14-py34_1
vc: 10-0
vs2010_runtime: 10.00.40219.1-2
The following packages will be UPDATED:
conda: 3.18.3-py34_0 –> 4.3.30-py34h3ba59da_0
conda-env: 2.4.3-py34_1 –> 2.6.0-h36134e3_1
menuinst: 1.0.3-py34_0 –> 1.4.7-py34_0
pip: 7.1.2-py34_0 –> 9.0.1-py34_1
pycosat: 0.6.1-py34_0 –> 0.6.2-py34_0
pycparser: 2.10-py34_0 –> 2.18-py34_0
pyparsing: 2.0.3-py34_0 –> 2.2.0-py34_0
python: 3.4.1-1 –> 3.4.5-0
requests: 2.8.1-py34_0 –> 2.14.2-py34_0
setuptools: 18.4-py34_0 –> 27.2.0-py34_1
six: 1.9.0-py34_0 –> 1.10.0-py34_0
wheel: 0.26.0-py34_1 –> 0.29.0-py34_0
Proceed ([y]/n)? y
menuinst-1.4.7 100% |###############################| Time: 0:00:00 268.21 kB/s
Fetching packages …
conda-env-2.6. 100% |###############################| Time: 0:00:00 336.87 kB/s
vs2010_runtime 100% |###############################| Time: 0:00:01 687.53 kB/s
vc-10-0.tar.bz 100% |###############################| Time: 0:00:00 100.29 kB/s
openssl-1.0.2l 100% |###############################| Time: 0:00:03 1.48 MB/s
python-3.4.5-0 100% |###############################| Time: 0:00:10 2.22 MB/s
asn1crypto-0.2 100% |###############################| Time: 0:00:00 371.91 kB/s
idna-2.6-py34_ 100% |###############################| Time: 0:00:00 300.24 kB/s
pycosat-0.6.2- 100% |###############################| Time: 0:00:00 333.20 kB/s
pycparser-2.18 100% |###############################| Time: 0:00:00 395.91 kB/s
pyparsing-2.2. 100% |###############################| Time: 0:00:00 290.87 kB/s
pywin32-220-py 100% |###############################| Time: 0:00:07 2.00 MB/s
requests-2.14. 100% |###############################| Time: 0:00:01 651.04 kB/s
ruamel_yaml-0. 100% |###############################| Time: 0:00:00 381.07 kB/s
setuptools-27. 100% |###############################| Time: 0:00:01 689.67 kB/s
six-1.10.0-py3 100% |###############################| Time: 0:00:00 180.04 kB/s
wheel-0.29.0-p 100% |###############################| Time: 0:00:00 298.03 kB/s
cffi-1.10.0-py 100% |###############################| Time: 0:00:00 316.58 kB/s
packaging-16.8 100% |###############################| Time: 0:00:00 313.78 kB/s
pip-9.0.1-py34 100% |###############################| Time: 0:00:02 808.85 kB/s
cryptography-1 100% |###############################| Time: 0:00:01 303.47 kB/s
pyopenssl-17.0 100% |###############################| Time: 0:00:00 238.62 kB/s
conda-4.3.30-p 100% |###############################| Time: 0:00:00 654.78 kB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
# ———————————————————————
# Update seaborn — FAILED
# ERROR conda.core.link:_execute_actions(337): An error occurred while uninstalling
# package ‘defaults::matplotlib-2.0.2-np112py36_0’.
# PermissionError(13, ‘The process cannot access the file because it is being used by another process’)
# Attempting to roll back.
# Sunday, September 2, 2018
# ———————————————————————
C:\Users\Evan>conda update seaborn -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
ca-certificates: 2018.03.07-0 anaconda
kiwisolver: 1.0.1-py36h6538335_0 anaconda
sqlite: 3.24.0-h7602738_0 anaconda
The following packages will be UPDATED:
blas: 1.0-mkl https://conda.binstar.org/conda-forge
–> 1.0-mkl anaconda
freetype: 2.5.5-vc14_2
–> 2.9.1-ha9979f8_1 anaconda
icu: 57.1-vc14_0
–> 58.2-ha66f8fd_1 anaconda
jpeg: 9b-vc14_0
–> 9b-hb83a4c4_2 anaconda
libpng: 1.6.30-vc14_1
–> 1.6.34-h79bbb47_0 anaconda
libtiff: 4.0.6-vc14_3
–> 4.0.9-h36446d0_2 anaconda
matplotlib: 2.0.2-np112py36_0
–> 2.2.2-py36had4c4a9_2 anaconda
openssl: 1.0.2l-vc14_0
–> 1.0.2p-hfa6e2cd_0 anaconda
qt: 5.6.2-vc14_6
–> 5.6.2-vc14h6f8c307_12 anaconda
seaborn: 0.7.1-py36_0
–> 0.9.0-py36_0 anaconda
statsmodels: 0.8.0-np112py36_0
–> 0.9.0-py36h452e1ab_0 anaconda
tk: 8.5.18-vc14_0
–> 8.6.8-hfa6e2cd_0 anaconda
zlib: 1.2.11-vc14_0
–> 1.2.11-h8395fce_2 anaconda
Proceed ([y]/n)? y
blas-1.0-mkl.t 100% |###############################| Time: 0:00:00 686.92 kB/s
ca-certificate 100% |###############################| Time: 0:00:00 308.35 kB/s
icu-58.2-ha66f 100% |###############################| Time: 0:00:12 1.81 MB/s
jpeg-9b-hb83a4 100% |###############################| Time: 0:00:00 1.85 MB/s
openssl-1.0.2p 100% |###############################| Time: 0:00:02 1.99 MB/s
sqlite-3.24.0- 100% |###############################| Time: 0:00:00 2.13 MB/s
tk-8.6.8-hfa6e 100% |###############################| Time: 0:00:01 2.10 MB/s
zlib-1.2.11-h8 100% |###############################| Time: 0:00:00 2.03 MB/s
kiwisolver-1.0 100% |###############################| Time: 0:00:00 1.59 MB/s
libpng-1.6.34- 100% |###############################| Time: 0:00:00 1.88 MB/s
libtiff-4.0.9- 100% |###############################| Time: 0:00:00 1.79 MB/s
freetype-2.9.1 100% |###############################| Time: 0:00:00 1.86 MB/s
qt-5.6.2-vc14h 100% |###############################| Time: 0:00:34 1.71 MB/s
matplotlib-2.2 100% |###############################| Time: 0:00:04 1.50 MB/s
statsmodels-0. 100% |###############################| Time: 0:00:04 2.05 MB/s
seaborn-0.9.0- 100% |###############################| Time: 0:00:00 2.30 MB/s
ERROR conda.core.link:_execute_actions(337): An error occurred while uninstallin
g package ‘defaults::matplotlib-2.0.2-np112py36_0’.
PermissionError(13, ‘The process cannot access the file because it is being used
by another process’)
Attempting to roll back.
PermissionError(13, ‘The process cannot access the file because it is being used
by another process’)
# ———————————————————————
# Update seaborn — apparently SUCCEEDED
# Sunday, September 2, 2018
# ———————————————————————
C:\Users\Evan>conda update seaborn -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
ca-certificates: 2018.03.07-0 anaconda
kiwisolver: 1.0.1-py36h6538335_0 anaconda
sqlite: 3.24.0-h7602738_0 anaconda
The following packages will be UPDATED:
blas: 1.0-mkl https://conda.binstar.org/conda-forge
–> 1.0-mkl anaconda
freetype: 2.5.5-vc14_2
–> 2.9.1-ha9979f8_1 anaconda
icu: 57.1-vc14_0
–> 58.2-ha66f8fd_1 anaconda
jpeg: 9b-vc14_0
–> 9b-hb83a4c4_2 anaconda
libpng: 1.6.30-vc14_1
–> 1.6.34-h79bbb47_0 anaconda
libtiff: 4.0.6-vc14_3
–> 4.0.9-h36446d0_2 anaconda
matplotlib: 2.0.2-np112py36_0
–> 2.2.2-py36had4c4a9_2 anaconda
openssl: 1.0.2l-vc14_0
–> 1.0.2p-hfa6e2cd_0 anaconda
qt: 5.6.2-vc14_6
–> 5.6.2-vc14h6f8c307_12 anaconda
seaborn: 0.7.1-py36_0
–> 0.9.0-py36_0 anaconda
statsmodels: 0.8.0-np112py36_0
–> 0.9.0-py36h452e1ab_0 anaconda
tk: 8.5.18-vc14_0
–> 8.6.8-hfa6e2cd_0 anaconda
zlib: 1.2.11-vc14_0
–> 1.2.11-h8395fce_2 anaconda
Proceed ([y]/n)? y
# ———————————————————————
# conda info
# Sunday Sept 2, 2018
# ———————————————————————
C:\Users\Evan>conda info
Current conda install:
platform : win-64
conda version : 4.3.30
conda is private : False
conda-env version : 4.3.30
conda-build version : 1.3.5
python version : 3.4.5.final.0
requests version : 2.14.2
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
C:\Users\Evan\AppData\Local\conda\conda\envs
C:\Users\Evan\.conda\envs
package cache : C:\Anaconda3\pkgs
C:\Users\Evan\AppData\Local\conda\conda\pkgs
channel URLs : https://conda.anaconda.org/anaconda/win-64
https://conda.anaconda.org/anaconda/noarch
https://repo.continuum.io/pkgs/main/win-64
https://repo.continuum.io/pkgs/main/noarch
https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/r/win-64
https://repo.continuum.io/pkgs/r/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : C:\Users\Evan\.condarc
netrc file : None
offline mode : False
user-agent : conda/4.3.30 requests/2.14.2 CPython/3.4.5 Windows/7 W
indows/6.1.7601
administrator : False
# ———————————————————————
# Update Pandas SUCCEEDED
#
# conda update pandas -n py360
#
# Sunday, September 2, 2018
# ———————————————————————
C:\Users\Evan>conda update pandas -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be UPDATED:
pandas: 0.20.3-py36_0 –> 0.23.4-py36h830ac7b_0 anaconda
Proceed ([y]/n)? y
pandas-0.23.4- 100% |###############################| Time: 0:00:04 1.85 MB/s
# ———————————————————————
# List packages in py360 environment
#
# conda list -n py360
#
# Sunday, September 2, 2018
# ———————————————————————
C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
absl-py 0.1.9 alabaster 0.7.10 py36_0
asn1crypto 0.22.0 py36_0
astropy 1.3.2 np112py36_0
babel 2.4.0 py36_0
biopython 1.68 np112py36_0
blas 1.0 mkl anaconda
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 vc14_3 [vc14]
ca-certificates 2018.03.07 0 anaconda
certifi 2018.8.13 py36_0 https://conda.binst
ar.org/conda-forge
cffi 1.10.0 py36_0
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
decorator 4.1.2 py36_0
docutils 0.13.1 py36_0
entrypoints 0.2.3 py36_0
et_xmlfile 1.0.1 py36_0
freetype 2.9.1 ha9979f8_1 anaconda
futures 3.1.1 graphviz 2.38.0 4
h5py 2.7.0 np113py36_0
hdf5 1.8.15.1 vc14_4 [vc14]
html5lib 0.9999999 html5lib 0.9999999 py36_0
icc_rt 2017.0.4 h97af966_0 https://conda.binst
ar.org/anaconda
icu 58.2 ha66f8fd_1 anaconda
idna 2.5 py36_0
imagesize 0.7.1 py36_0
intel-openmp 2018.0.3 0 https://conda.binst
ar.org/anaconda
ipykernel 4.6.1 py36_0
ipython 6.1.0 py36_0
ipython_genutils 0.2.0 py36_0
ipywidgets 6.0.0 py36_0
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
joblib 0.11 py36_0 https://conda.binst
ar.org/conda-forge
jpeg 9b hb83a4c4_2 anaconda
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter_client 5.1.0 py36_0
jupyter_console 5.2.0 py36_0
jupyter_core 4.3.0 py36_0
jupyterlab 0.32.0 jupyterlab-launcher 0.10.5 kiwisolver 1.0.1 py36h6538335_0 anaconda
libgpuarray 0.7.6 vc14_0 [vc14] https://conda
.binstar.org/conda-forge
libpng 1.6.34 h79bbb47_0 anaconda
libpython 2.0 py36_0
libtiff 4.0.9 h36446d0_2 anaconda
line-profiler 2.1.2 lxml 3.7.3 mako 1.0.7 py_1 https://conda.binst
ar.org/conda-forge
Markdown 2.6.11 markupsafe 1.0 py36h0e26971_1 https://conda.binst
ar.org/anaconda
matplotlib 2.2.2 py36had4c4a9_2 anaconda
memory-profiler 0.51.0 mingw 4.7 1
mistune 0.7.4 py36_0
mkl 2018.0.3 1 https://conda.binst
ar.org/anaconda
mkl-service 1.1.2 py36hb217b18_4 https://conda.binst
ar.org/anaconda
mkl_fft 1.0.6 py36_0 https://conda.binst
ar.org/conda-forge
mkl_random 1.0.1 py36h77b88f5_1 https://conda.binst
ar.org/anaconda
mpmath 0.19 py36_1
nbconvert 5.2.1 py36_0
nbformat 4.4.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numexpr 2.6.4 numpy 1.15.0 py36h9fa60d3_0 https://conda.binst
ar.org/anaconda
numpy 1.14.0 numpy-base 1.15.0 py36h4a99626_0 https://conda.binst
ar.org/anaconda
nxpd 0.2.0 olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2p hfa6e2cd_0 anaconda
packaging 16.8 py36_0
pandas 0.23.4 py36h830ac7b_0 anaconda
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.2 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 4.1.1 py36_0
pip 18.0 py36_1 https://conda.binst
ar.org/conda-forge
plotly 1.12.9 py36_0
prompt_toolkit 1.0.15 py36_0
protobuf 3.5.1 psutil 5.4.3 pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pygpu 0.7.6 py36h452e1ab_0 https://conda.binst
ar.org/anaconda
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
python 3.6.6 hea74fb7_0 https://conda.binst
ar.org/anaconda
python-dateutil 2.6.1 py36_0
pytz 2017.2 py36_0
pywavelets 0.5.2 np112py36_0
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14h6f8c307_12 [vc14] anaconda
qtconsole 4.3.1 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.13.0 np112py36_0
scikit-learn 0.18.1 np112py36_1
scikit-surprise 1.0.5 py36_0 https://conda.binst
ar.org/conda-forge
scipy 1.1.0 py36h672f292_0 https://conda.binst
ar.org/anaconda
seaborn 0.9.0 py36_0 anaconda
setuptools 40.0.0 py36_1 https://conda.binst
ar.org/conda-forge
setuptools 38.4.0 simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.11.0 py36h4db2310_1 https://conda.binst
ar.org/anaconda
six 1.11.0 snowballstemmer 1.2.1 py36_0
sphinx 1.6.2 py36_0
sphinxcontrib 1.0 py36_0
sphinxcontrib-websupport 1.0.1 py36_0
sqlite 3.24.0 h7602738_0 anaconda
statsmodels 0.9.0 py36h452e1ab_0 anaconda
sympy 1.0 py36_0
tabulate 0.8.2 tensorflow 1.5.0 tensorflow-tensorboard 1.5.0 testpath 0.3.1 py36_0
theano 1.0.2 py36_0 https://conda.binst
ar.org/conda-forge
tk 8.6.8 hfa6e2cd_0 anaconda
tornado 4.5.2 py36_0
traitlets 4.3.2 py36_0
vc 14.1 h0510ff6_3 https://conda.binst
ar.org/anaconda
vs2015_runtime 15.5.2 3 https://conda.binst
ar.org/anaconda
wcwidth 0.1.7 py36_0
Werkzeug 0.14.1 wheel 0.30.0 wheel 0.31.1 py36_1 https://conda.binst
ar.org/conda-forge
widgetsnbextension 3.0.2 py36_0
wincertstore 0.2 py36_2 https://conda.binst
ar.org/conda-forge
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.11 h8395fce_2 anaconda
# ———————————————————————
# List conda environments
# conda info –envs
#
# Monday, September 3, 2018
# ———————————————————————
C:\Users\Evan>conda info –envs
# conda environments:
#
py278 C:\Anaconda3\envs\py278
py335 C:\Anaconda3\envs\py335
py350 C:\Anaconda3\envs\py350
py360 C:\Anaconda3\envs\py360
root * C:\Anaconda3
# ———————————————————————
# Remove the py335 environment
#
# conda remove -n py335 -all
#
# Monday, September 3, 2018
# ———————————————————————
C:\Users\Evan>conda remove -n py335 –all
Package plan for package removal in environment C:\Anaconda3\envs\py335:
The following packages will be REMOVED:
astropy: 0.3.2-np18py33_0
dateutil: 2.1-py33_2
ipython: 2.1.0-py33_2
jinja2: 2.7.3-py33_0
markupsafe: 0.18-py33_1
matplotlib: 1.3.1-np18py33_2
numpy: 1.8.1-py33_0
pip: 1.5.6-py33_0
pygments: 1.6-py33_0
pyparsing: 2.0.1-py33_0
pyqt: 4.10.4-py33_0
pyreadline: 2.0-py33_0
python: 3.3.5-0
pytz: 2014.4-py33_0
pyzmq: 14.3.1-py33_0
scikit-image: 0.10.1-np18py33_0
scikit-learn: 0.15.0b2-np18py33_0
scipy: 0.14.0-np18py33_0
setuptools: 3.6-py33_0
six: 1.7.3-py33_0
ssl_match_hostname: 3.4.0.2-py33_0
tornado: 3.2.2-py33_0
Proceed ([y]/n)? y
# ———————————————————————
# List conda environments (after removing the py335 environment)
# conda info –envs
#
# Monday, September 3, 2018
# ———————————————————————
C:\Users\Evan>conda info –envs
# conda environments:
#
py278 C:\Anaconda3\envs\py278
py350 C:\Anaconda3\envs\py350
py360 C:\Anaconda3\envs\py360
root * C:\Anaconda3
# ———————————————————————
# Update scikit-learn to latest ver (ver 0.19)
# conda update scikit-learn -n py360
#
# Thursday, Sept 27, 2018
#———————————————————————-
C:\Users\Evan>conda update scikit-learn -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be UPDATED:
scikit-learn: 0.18.1-np112py36_1 –> 0.19.2-py36heebcf9a_0 anaconda
Proceed ([y]/n)? y
scikit-learn-0 100% |###############################| Time: 0:00:01 2.99 MB/s
# ———————————————————————
# Update scikit-surprise to latest ver (ver 1.06) – SUCCEEDED#
#
# conda update -n py360 -c conda-forge scikit-surprise
#
# Sunday, October 28, 2018
#
### — Under Python 3.6, surprise version 1.05 produced following warnings:
### — warings persist in surprise version 1.06
# C:\Anaconda3\envs\py360\lib\site-packages\surprise\evaluate.py:66:
# % UserWarning: The evaluate() method is deprecated. Please use model_selection.cross_validate() instead.
# ‘model_selection.cross_validate() instead.’, UserWarning)
#
# UserWarning: Using data.split() or using load_from_folds() without using a CV iterator is now deprecated.
# UserWarning)
#
#———————————————————————-
C:\Users\Evan>conda update -n py360 -c conda-forge scikit-surprise
Fetching package metadata ……………..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be UPDATED:
scikit-surprise: 1.0.5-py36_0 https://conda.binstar.org/conda-forge –> 1.0.
6-py36h452e1ab_1001 conda-forge
Proceed ([y]/n)? y
scikit-surpris 100% |###############################| Time: 0:00:00 1.31 MB/s
# ———————————————————————
# Install ipyvolume package – SUCCEEDED#
#
# IPyvolume is a Python library to visualise 3d volumes and glyphs (e.g. 3d scatter plots),
# in the Jupyter notebook, with minimal configuration and effort.
#
# conda install -n py360 -c conda-forge ipyvolume
#
# Friday, November 9, 2018
#
#———————————————————————-
C:\Users\Evan>conda install -n py360 -c conda-forge ipyvolume
Fetching package metadata ……………..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
ipydatawidgets: 4.0.0-py_0 conda-forge
ipyscales: 0.3.0-py_0 conda-forge
ipyvolume: 0.5.1-py36_1000 conda-forge
ipywebrtc: 0.4.1-py36_1001 conda-forge
pyreadline: 2.1-py36_1000 conda-forge
pythreejs: 2.0.2-py36_1000 conda-forge
traittypes: 0.2.1-py_1 conda-forge
The following packages will be UPDATED:
bzip2: 1.0.6-vc14_3
–> 1.0.6-hfa6e2cd_1002 conda-forge
h5py: 2.7.0-np113py36_0
–> 2.8.0-py36h54c06b0_1004 conda-forge
hdf5: 1.8.15.1-vc14_4
–> 1.10.3-he51fdeb_1001 conda-forge
ipywidgets: 6.0.0-py36_0
–> 7.4.2-py_0 conda-forge
libgpuarray: 0.7.6-vc14_0 https://conda.binstar.org/conda-fo
rge [vc14] –> 0.7.6-hfa6e2cd_1003 conda-forge
pillow: 4.1.1-py36_0
–> 5.3.0-py36hdc69c19_0 anaconda
qt: 5.6.2-vc14h6f8c307_12 anaconda
[vc14] –> 5.6.2-vc14h6f8c307_12
widgetsnbextension: 3.0.2-py36_0
–> 3.4.2-py36_1000 conda-forge
The following packages will be SUPERSEDED by a higher-priority channel:
numpy: 1.15.0-py36h9fa60d3_0 https://conda.binstar.org/anaconda
–> 1.12.1-py36hf30b8aa_1 anaconda
Proceed ([y]/n)? y
bzip2-1.0.6-hf 100% |###############################| Time: 0:00:00 535.30 kB/s
libgpuarray-0. 100% |###############################| Time: 0:00:00 2.84 MB/s
hdf5-1.10.3-he 100% |###############################| Time: 0:00:13 2.64 MB/s
numpy-1.12.1-p 100% |###############################| Time: 0:00:01 2.23 MB/s
pyreadline-2.1 100% |###############################| Time: 0:00:00 305.27 kB/s
h5py-2.8.0-py3 100% |###############################| Time: 0:00:00 2.79 MB/s
qt-5.6.2-vc14h 100% |###############################| Time: 0:00:28 2.05 MB/s
pillow-5.3.0-p 100% |###############################| Time: 0:00:00 2.43 MB/s
traittypes-0.2 100% |###############################| Time: 0:00:00 1.18 MB/s
widgetsnbexten 100% |###############################| Time: 0:00:00 1.97 MB/s
ipywidgets-7.4 100% |###############################| Time: 0:00:00 3.77 MB/s
ipyscales-0.3. 100% |###############################| Time: 0:00:00 7.38 MB/s
ipywebrtc-0.4. 100% |###############################| Time: 0:00:00 3.20 MB/s
ipydatawidgets 100% |###############################| Time: 0:00:00 3.40 MB/s
pythreejs-2.0. 100% |###############################| Time: 0:00:01 2.89 MB/s
ipyvolume-0.5. 100% |###############################| Time: 0:00:00 3.14 MB/s
Enabling notebook extension jupyter-js-widgets/extension…
– Validating: ok
Enabling notebook extension jupyter-threejs/extension…
– Validating: ok
# ———————————————————————
# Update numpy package – SUCCEEDED#
#
# conda update -n py360 numpy
#
# Friday, November 9, 2018
#
#———————————————————————-
C:\Users\Evan>conda update -n py360 numpy
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
atomicwrites: 1.2.1-py36_0 anaconda
attrs: 18.2.0-py36h28b3542_0 anaconda
cloudpickle: 0.6.1-py36_0 anaconda
dask-core: 0.20.0-py36_0 anaconda
imageio: 2.4.1-py36_0 anaconda
more-itertools: 4.3.0-py36_0 anaconda
pluggy: 0.8.0-py36_0 anaconda
psutil: 5.4.8-py36he774522_0 anaconda
py: 1.7.0-py36_0 anaconda
pytest: 3.10.0-py36_0 anaconda
pytest-arraydiff: 0.2-py36h39e3cac_0 anaconda
pytest-astropy: 0.4.0-py36_0 anaconda
pytest-doctestplus: 0.1.3-py36_0 anaconda
pytest-openfiles: 0.3.0-py36_0 anaconda
pytest-remotedata: 0.3.1-py36_0 anaconda
toolz: 0.9.0-py36_0 anaconda
The following packages will be UPDATED:
astropy: 1.3.2-np112py36_0
–> 3.0.5-py36he774522_0 anaconda
biopython: 1.68-np112py36_0
–> 1.72-py36h830ac7b_0 anaconda
numpy: 1.12.1-py36hf30b8aa_1 anaconda
–> 1.15.3-py36ha559c80_0 anaconda
numpy-base: 1.15.0-py36h4a99626_0 https://conda.binstar.org/anaconda
–> 1.15.3-py36h8128ebf_0 anaconda
pywavelets: 0.5.2-np112py36_0
–> 1.0.1-py36h8c2d366_0 anaconda
scikit-image: 0.13.0-np112py36_0
–> 0.14.0-py36h6538335_1 anaconda
Proceed ([y]/n)? y
atomicwrites-1 100% |###############################| Time: 0:00:00 1.44 MB/s
attrs-18.2.0-p 100% |###############################| Time: 0:00:00 1.80 MB/s
cloudpickle-0. 100% |###############################| Time: 0:00:00 1.54 MB/s
dask-core-0.20 100% |###############################| Time: 0:00:00 1.74 MB/s
numpy-base-1.1 100% |###############################| Time: 0:00:02 1.65 MB/s
pluggy-0.8.0-p 100% |###############################| Time: 0:00:00 1.78 MB/s
psutil-5.4.8-p 100% |###############################| Time: 0:00:00 1.93 MB/s
py-1.7.0-py36_ 100% |###############################| Time: 0:00:00 2.32 MB/s
toolz-0.9.0-py 100% |###############################| Time: 0:00:00 3.04 MB/s
more-itertools 100% |###############################| Time: 0:00:00 2.51 MB/s
pytest-3.10.0- 100% |###############################| Time: 0:00:00 1.11 MB/s
pytest-openfil 100% |###############################| Time: 0:00:00 2.41 MB/s
pytest-remoted 100% |###############################| Time: 0:00:00 2.33 MB/s
biopython-1.72 100% |###############################| Time: 0:00:01 2.08 MB/s
imageio-2.4.1- 100% |###############################| Time: 0:00:01 2.27 MB/s
numpy-1.15.3-p 100% |###############################| Time: 0:00:00 2.14 MB/s
pytest-arraydi 100% |###############################| Time: 0:00:00 1.78 MB/s
pytest-doctest 100% |###############################| Time: 0:00:00 1.85 MB/s
pywavelets-1.0 100% |###############################| Time: 0:00:02 1.87 MB/s
pytest-astropy 100% |###############################| Time: 0:00:00 919.66 kB/s
scikit-image-0 100% |###############################| Time: 0:00:12 1.92 MB/s
astropy-3.0.5- 100% |###############################| Time: 0:00:03 2.02 MB/s
# ———————————————————————
# List packages in py360 environment
#
# conda list -n py360
#
# Friday, November 9, 2018
# ———————————————————————
C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
absl-py 0.1.9 alabaster 0.7.10 py36_0
asn1crypto 0.22.0 py36_0
astropy 3.0.5 py36he774522_0 anaconda
atomicwrites 1.2.1 py36_0 anaconda
attrs 18.2.0 py36h28b3542_0 anaconda
babel 2.4.0 py36_0
biopython 1.72 py36h830ac7b_0 anaconda
blas 1.0 mkl anaconda
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 hfa6e2cd_1002 conda-forge
ca-certificates 2018.03.07 0 anaconda
certifi 2018.8.13 py36_0 https://conda.binst
ar.org/conda-forge
cffi 1.10.0 py36_0
cloudpickle 0.6.1 py36_0 anaconda
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
dask-core 0.20.0 py36_0 anaconda
decorator 4.1.2 py36_0
docutils 0.13.1 py36_0
entrypoints 0.2.3 py36_0
et_xmlfile 1.0.1 py36_0
freetype 2.9.1 ha9979f8_1 anaconda
futures 3.1.1 graphviz 2.38.0 4
h5py 2.8.0 py36h54c06b0_1004 conda-forge
hdf5 1.10.3 he51fdeb_1001 conda-forge
html5lib 0.9999999 py36_0
html5lib 0.9999999 icc_rt 2017.0.4 h97af966_0 https://conda.binst
ar.org/anaconda
icu 58.2 ha66f8fd_1 anaconda
idna 2.5 py36_0
imageio 2.4.1 py36_0 anaconda
imagesize 0.7.1 py36_0
intel-openmp 2018.0.3 0 https://conda.binst
ar.org/anaconda
ipydatawidgets 4.0.0 py_0 conda-forge
ipykernel 4.6.1 py36_0
ipyscales 0.3.0 py_0 conda-forge
ipython 6.1.0 py36_0
ipython_genutils 0.2.0 py36_0
ipyvolume 0.5.1 py36_1000 conda-forge
ipywebrtc 0.4.1 py36_1001 conda-forge
ipywidgets 7.4.2 py_0 conda-forge
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
joblib 0.11 py36_0 https://conda.binst
ar.org/conda-forge
jpeg 9b hb83a4c4_2 anaconda
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter_client 5.1.0 py36_0
jupyter_console 5.2.0 py36_0
jupyter_core 4.3.0 py36_0
jupyterlab 0.32.0 jupyterlab-launcher 0.10.5 kiwisolver 1.0.1 py36h6538335_0 anaconda
libgpuarray 0.7.6 hfa6e2cd_1003 conda-forge
libpng 1.6.34 h79bbb47_0 anaconda
libpython 2.0 py36_0
libtiff 4.0.9 h36446d0_2 anaconda
line-profiler 2.1.2 lxml 3.7.3 mako 1.0.7 py_1 https://conda.binst
ar.org/conda-forge
Markdown 2.6.11 markupsafe 1.0 py36h0e26971_1 https://conda.binst
ar.org/anaconda
matplotlib 2.2.2 py36had4c4a9_2 anaconda
memory-profiler 0.51.0 mingw 4.7 1
mistune 0.7.4 py36_0
mkl 2018.0.3 1 https://conda.binst
ar.org/anaconda
mkl-service 1.1.2 py36hb217b18_4 https://conda.binst
ar.org/anaconda
mkl_fft 1.0.6 py36_0 https://conda.binst
ar.org/conda-forge
mkl_random 1.0.1 py36h77b88f5_1 https://conda.binst
ar.org/anaconda
more-itertools 4.3.0 py36_0 anaconda
mpmath 0.19 py36_1
nbconvert 5.2.1 py36_0
nbformat 4.4.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numexpr 2.6.4 numpy 1.14.0 numpy 1.15.3 py36ha559c80_0 anaconda
numpy-base 1.15.3 py36h8128ebf_0 anaconda
nxpd 0.2.0 olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2p hfa6e2cd_0 anaconda
packaging 16.8 py36_0
pandas 0.23.4 py36h830ac7b_0 anaconda
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.2 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 5.3.0 py36hdc69c19_0 anaconda
pip 18.0 py36_1 https://conda.binst
ar.org/conda-forge
plotly 1.12.9 py36_0
pluggy 0.8.0 py36_0 anaconda
prompt_toolkit 1.0.15 py36_0
protobuf 3.5.1 psutil 5.4.3 psutil 5.4.8 py36he774522_0 anaconda
py 1.7.0 py36_0 anaconda
pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pygpu 0.7.6 py36h452e1ab_0 https://conda.binst
ar.org/anaconda
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
pyreadline 2.1 py36_1000 conda-forge
pytest 3.10.0 py36_0 anaconda
pytest-arraydiff 0.2 py36h39e3cac_0 anaconda
pytest-astropy 0.4.0 py36_0 anaconda
pytest-doctestplus 0.1.3 py36_0 anaconda
pytest-openfiles 0.3.0 py36_0 anaconda
pytest-remotedata 0.3.1 py36_0 anaconda
python 3.6.6 hea74fb7_0 https://conda.binst
ar.org/anaconda
python-dateutil 2.6.1 py36_0
pythreejs 2.0.2 py36_1000 conda-forge
pytz 2017.2 py36_0
pywavelets 1.0.1 py36h8c2d366_0 anaconda
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14h6f8c307_12
qtconsole 4.3.1 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.14.0 py36h6538335_1 anaconda
scikit-learn 0.19.2 py36heebcf9a_0 anaconda
scikit-surprise 1.0.6 py36h452e1ab_1001 conda-forge
scipy 1.1.0 py36h672f292_0 https://conda.binst
ar.org/anaconda
seaborn 0.9.0 py36_0 anaconda
setuptools 38.4.0 setuptools 40.0.0 py36_1 https://conda.binst
ar.org/conda-forge
simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.11.0 six 1.11.0 py36h4db2310_1 https://conda.binst
ar.org/anaconda
snowballstemmer 1.2.1 py36_0
sphinx 1.6.2 py36_0
sphinxcontrib 1.0 py36_0
sphinxcontrib-websupport 1.0.1 py36_0
sqlite 3.24.0 h7602738_0 anaconda
statsmodels 0.9.0 py36h452e1ab_0 anaconda
sympy 1.0 py36_0
tabulate 0.8.2 tensorflow 1.5.0 tensorflow-tensorboard 1.5.0 testpath 0.3.1 py36_0
theano 1.0.2 py36_0 https://conda.binst
ar.org/conda-forge
tk 8.6.8 hfa6e2cd_0 anaconda
toolz 0.9.0 py36_0 anaconda
tornado 4.5.2 py36_0
traitlets 4.3.2 py36_0
traittypes 0.2.1 py_1 conda-forge
vc 14.1 h0510ff6_3 https://conda.binst
ar.org/anaconda
vs2015_runtime 15.5.2 3 https://conda.binst
ar.org/anaconda
wcwidth 0.1.7 py36_0
Werkzeug 0.14.1 wheel 0.31.1 py36_1 https://conda.binst
ar.org/conda-forge
wheel 0.30.0 widgetsnbextension 3.4.2 py36_1000 conda-forge
wincertstore 0.2 py36_2 https://conda.binst
ar.org/conda-forge
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.11 h8395fce_2 anaconda
# ———————————————————————
# Update scikit-learn to latest ver (ver 0.20.1)
# Originally released: November 21, 2018
# conda update scikit-learn -n py360
#
# Saturday, December 8, 2018
#———————————————————————-
C:\Users\Evan>conda update scikit-learn -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be UPDATED:
scikit-learn: 0.19.2-py36heebcf9a_0 anaconda –> 0.20.1-py36hb854c30_0 anac
nda
Proceed ([y]/n)? y
scikit-learn-0 100% |###############################| Time: 0:00:00 6.21 MB/s
#———————————————————————-
# Install nbsphinx
# conda install -c conda-forge nbsphinx
#
# see https://stackoverflow.com/questions/42015732/the-following-packages-will-be-superceded-by-a-higher-priority-channel
# for explanation of ‘The following packages will be SUPERSEDED by a higher-priority channel:’
#
# Tuesday, January 15, 2019
#
# USER ERROR !! did NOT specify -n py360; unclear where the files were installed.
# when queried from the command prompt in
#———————————————————————-
C:\Users\Evan>conda install -c conda-forge nbsphinx
Fetching package metadata ……………..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3:
The following NEW packages will be INSTALLED:
bleach: 3.1.0-py_0 conda-forge
configparser: 3.5.0-py_1000 conda-forge
decorator: 4.3.0-py_0 conda-forge
entrypoints: 0.2.2-py34_1 conda-forge
et_xmlfile: 1.0.1-py34_0 anaconda
ipython_genutils: 0.2.0-py_1 conda-forge
jupyter_core: 4.4.0-py_0 conda-forge
nbconvert: 5.2.1-py34_0 anaconda
nbformat: 4.4.0-py_1 conda-forge
nbsphinx: 0.4.2-py_0 conda-forge
pandocfilters: 1.4.2-py_1 conda-forge
testpath: 0.3.1-py34_0 anaconda
traitlets: 4.3.1-py34_0 conda-forge
webencodings: 0.5.1-py_1 conda-forge
The following packages will be UPDATED:
anaconda: 2.0.1-np18py34_0
–> custom-py34_0 anaconda
bokeh: 0.4.4-np18py34_1
–> 0.10.0-py34_0 anaconda
ipython-qtconsole: 2.1.0-py34_0
–> 3.1.0-py34_1 anaconda
openpyxl: 1.8.5-py34_0
–> 2.5.12-py_0 conda-forge
pandas: 0.15.1-np19py34_0
–> 0.20.3-py34_1 conda-forge
runipy: 0.1.0-py34_0
–> 0.1.3-py34_0 anaconda
The following packages will be SUPERSEDED by a higher-priority channel:
astropy: 0.4.2-np19py34_0
–> 0.4.1-np18py34_0 anaconda
conda: 4.3.30-py34h3ba59da_0 https://conda.binstar.org/anaconda
–> 4.2.13-py34_0 conda-forge
conda-env: 2.6.0-h36134e3_1 https://conda.binstar.org/anaconda
–> 2.6.0-1 conda-forge
itsdangerous: 0.24-py34_0
–> 0.23-py34_0 anaconda
matplotlib: 1.4.3-np19py34_1
–> 1.4.0-np18py34_0 anaconda
numpy: 1.9.2-py34_0
–> 1.8.2-py34_0 anaconda
pyparsing: 2.2.0-py34_0 https://conda.binstar.org/anaconda
–> 2.0.1-py34_0 anaconda
scipy: 0.14.0-np19py34_0
–> 0.14.0-np18py34_0 anaconda
spyder: 2.3.0rc1-py34_0
–> 2.3.0rc1-py34_0 anaconda
Proceed ([y]/n)? y
conda-env-2.6. 100% |###############################| Time: 0:00:00 330.10 kB/s
anaconda-custo 100% |###############################| Time: 0:00:00 1.72 MB/s
configparser-3 100% |###############################| Time: 0:00:00 2.07 MB/s
decorator-4.3. 100% |###############################| Time: 0:00:00 1.47 MB/s
et_xmlfile-1.0 100% |###############################| Time: 0:00:00 1.44 MB/s
ipython_genuti 100% |###############################| Time: 0:00:00 2.40 MB/s
itsdangerous-0 100% |###############################| Time: 0:00:00 85.85 kB/s
numpy-1.8.2-py 100% |###############################| Time: 0:00:08 2.95 MB/s
pandocfilters- 100% |###############################| Time: 0:00:00 1.28 MB/s
pyparsing-2.0. 100% |###############################| Time: 0:00:00 2.61 MB/s
testpath-0.3.1 100% |###############################| Time: 0:00:00 2.03 MB/s
webencodings-0 100% |###############################| Time: 0:00:00 1.70 MB/s
astropy-0.4.1- 100% |###############################| Time: 0:00:07 694.90 kB/s
bleach-3.1.0-p 100% |###############################| Time: 0:00:00 5.92 MB/s
entrypoints-0. 100% |###############################| Time: 0:00:00 4.38 MB/s
openpyxl-2.5.1 100% |###############################| Time: 0:00:00 6.23 MB/s
scipy-0.14.0-n 100% |###############################| Time: 0:00:15 4.14 MB/s
traitlets-4.3. 100% |###############################| Time: 0:00:00 146.41 kB/s
conda-4.2.13-p 100% |###############################| Time: 0:00:00 532.08 kB/s
ipython-qtcons 100% |###############################| Time: 0:00:00 676.39 kB/s
jupyter_core-4 100% |###############################| Time: 0:00:00 2.97 MB/s
matplotlib-1.4 100% |###############################| Time: 0:00:10 4.25 MB/s
pandas-0.20.3- 100% |###############################| Time: 0:00:01 6.81 MB/s
spyder-2.3.0rc 100% |###############################| Time: 0:00:01 2.27 MB/s
bokeh-0.10.0-p 100% |###############################| Time: 0:00:01 4.06 MB/s
nbformat-4.4.0 100% |###############################| Time: 0:00:00 6.24 MB/s
runipy-0.1.3-p 100% |###############################| Time: 0:00:00 4.12 MB/s
nbconvert-5.2. 100% |###############################| Time: 0:00:00 1.40 MB/s
nbsphinx-0.4.2 100% |###############################| Time: 0:00:00 2.70 MB/s
INFO menuinst_win32:__init__(182): Menu: name: ‘Anaconda (64-bit)’, prefix: ‘C:\
Anaconda3’, env_name: ‘None’, mode: ‘user’, used_mode: ‘user’
INFO menuinst_win32:__init__(182): Menu: name: ‘Anaconda (64-bit)’, prefix: ‘C:\
Anaconda3’, env_name: ‘None’, mode: ‘user’, used_mode: ‘user’
INFO menuinst_win32:__init__(182): Menu: name: ‘Anaconda${PY_VER} ${PLATFORM}’,
prefix: ‘C:\Anaconda3’, env_name: ‘None’, mode: ‘user’, used_mode: ‘user’
INFO menuinst_win32:__init__(182): Menu: name: ‘Anaconda (64-bit)’, prefix: ‘C:\
Anaconda3’, env_name: ‘None’, mode: ‘user’, used_mode: ‘user’
C:\Users\Evan>
# ———————————————————————
# List packages in py360 environment
#
# conda list -n py360
#
# Tuesday, January 15, 2019
# ———————————————————————
C:\Users\Evan>conda list -n py360
# packages in environment at C:\Anaconda3\envs\py360:
#
absl-py 0.1.9 alabaster 0.7.10 py36_0
asn1crypto 0.22.0 py36_0
astropy 3.0.5 py36he774522_0 anaconda
atomicwrites 1.2.1 py36_0 anaconda
attrs 18.2.0 py36h28b3542_0 anaconda
babel 2.4.0 py36_0
biopython 1.72 py36h830ac7b_0 anaconda
blas 1.0 mkl anaconda
bleach 1.5.0 py36_0
bokeh 0.12.5 py36_1
bzip2 1.0.6 hfa6e2cd_1002 conda-forge
ca-certificates 2018.03.07 0 anaconda
certifi 2018.8.13 py36_0 https://conda.binst
ar.org/conda-forge
cffi 1.10.0 py36_0
cloudpickle 0.6.1 py36_0 anaconda
colorama 0.3.9 py36_0
cryptography 1.8.1 py36_0
cycler 0.10.0 py36_0
dask-core 0.20.0 py36_0 anaconda
decorator 4.1.2 py36_0
docutils 0.13.1 py36_0
entrypoints 0.2.3 py36_0
et_xmlfile 1.0.1 py36_0
freetype 2.9.1 ha9979f8_1 anaconda
futures 3.1.1 graphviz 2.38.0 4
h5py 2.8.0 py36h54c06b0_1004 conda-forge
hdf5 1.10.3 he51fdeb_1001 conda-forge
html5lib 0.9999999 html5lib 0.9999999 py36_0
icc_rt 2017.0.4 h97af966_0 https://conda.binst
ar.org/anaconda
icu 58.2 ha66f8fd_1 anaconda
idna 2.5 py36_0
imageio 2.4.1 py36_0 anaconda
imagesize 0.7.1 py36_0
intel-openmp 2018.0.3 0 https://conda.binst
ar.org/anaconda
ipydatawidgets 4.0.0 py_0 conda-forge
ipykernel 4.6.1 py36_0
ipyscales 0.3.0 py_0 conda-forge
ipython 6.1.0 py36_0
ipython_genutils 0.2.0 py36_0
ipyvolume 0.5.1 py36_1000 conda-forge
ipywebrtc 0.4.1 py36_1001 conda-forge
ipywidgets 7.4.2 py_0 conda-forge
jdcal 1.3 py36_0
jedi 0.10.2 py36_2
jinja2 2.9.6 py36_0
joblib 0.11 py36_0 https://conda.binst
ar.org/conda-forge
jpeg 9b hb83a4c4_2 anaconda
jsonschema 2.6.0 py36_0
jupyter 1.0.0 py36_3
jupyter_client 5.1.0 py36_0
jupyter_console 5.2.0 py36_0
jupyter_core 4.3.0 py36_0
jupyterlab 0.32.0 jupyterlab-launcher 0.10.5 kiwisolver 1.0.1 py36h6538335_0 anaconda
libgpuarray 0.7.6 hfa6e2cd_1003 conda-forge
libpng 1.6.34 h79bbb47_0 anaconda
libpython 2.0 py36_0
libtiff 4.0.9 h36446d0_2 anaconda
line-profiler 2.1.2 lxml 3.7.3 mako 1.0.7 py_1 https://conda.binst
ar.org/conda-forge
Markdown 2.6.11 markupsafe 1.0 py36h0e26971_1 https://conda.binst
ar.org/anaconda
matplotlib 2.2.2 py36had4c4a9_2 anaconda
memory-profiler 0.51.0 mingw 4.7 1
mistune 0.7.4 py36_0
mkl 2018.0.3 1 https://conda.binst
ar.org/anaconda
mkl-service 1.1.2 py36hb217b18_4 https://conda.binst
ar.org/anaconda
mkl_fft 1.0.6 py36_0 https://conda.binst
ar.org/conda-forge
mkl_random 1.0.1 py36h77b88f5_1 https://conda.binst
ar.org/anaconda
more-itertools 4.3.0 py36_0 anaconda
mpmath 0.19 py36_1
nbconvert 5.2.1 py36_0
nbformat 4.4.0 py36_0
networkx 1.11 py36_0
notebook 5.0.0 py36_0
numexpr 2.6.4 numpy 1.14.3 numpy 1.15.3 py36ha559c80_0 anaconda
numpy 1.14.0 numpy-base 1.15.3 py36h8128ebf_0 anaconda
nxpd 0.2.0 olefile 0.44 py36_0
openpyxl 2.4.7 py36_0
openssl 1.0.2p hfa6e2cd_0 anaconda
packaging 16.8 py36_0
pandas 0.23.4 py36h830ac7b_0 anaconda
pandas-datareader 0.2.1 py36_0
pandocfilters 1.4.2 py36_0
path.py 10.3.1 py36_0
patsy 0.4.1 py36_0
pickleshare 0.7.4 py36_0
pillow 5.3.0 py36hdc69c19_0 anaconda
pip 18.0 py36_1 https://conda.binst
ar.org/conda-forge
plotly 1.12.9 py36_0
pluggy 0.8.0 py36_0 anaconda
prompt_toolkit 1.0.15 py36_0
protobuf 3.5.1 psutil 5.4.8 py36he774522_0 anaconda
psutil 5.4.3 py 1.7.0 py36_0 anaconda
pycparser 2.17 py36_0
pygments 2.2.0 py36_0
pygpu 0.7.6 py36h452e1ab_0 https://conda.binst
ar.org/anaconda
pyparsing 2.1.4 py36_0
pyqt 5.6.0 py36_2
pyreadline 2.1 py36_1000 conda-forge
pytest 3.10.0 py36_0 anaconda
pytest-arraydiff 0.2 py36h39e3cac_0 anaconda
pytest-astropy 0.4.0 py36_0 anaconda
pytest-doctestplus 0.1.3 py36_0 anaconda
pytest-openfiles 0.3.0 py36_0 anaconda
pytest-remotedata 0.3.1 py36_0 anaconda
python 3.6.6 hea74fb7_0 https://conda.binst
ar.org/anaconda
python-dateutil 2.6.1 py36_0
pythreejs 2.0.2 py36_1000 conda-forge
pytz 2017.2 py36_0
pywavelets 1.0.1 py36h8c2d366_0 anaconda
pyyaml 3.12 py36_0
pyzmq 16.0.2 py36_0
qt 5.6.2 vc14h6f8c307_12 https://repo.contin
uum.io/pkgs/main
qtconsole 4.3.1 py36_0
requests 2.14.2 py36_0
requests-file 1.4.1 py36_0
scikit-image 0.14.0 py36h6538335_1 anaconda
scikit-learn 0.20.1 py36hb854c30_0 anaconda
scikit-surprise 1.0.6 py36h452e1ab_1001 conda-forge
scipy 1.1.0 py36h672f292_0 https://conda.binst
ar.org/anaconda
seaborn 0.9.0 py36_0 anaconda
setuptools 38.4.0 setuptools 40.0.0 py36_1 https://conda.binst
ar.org/conda-forge
simplegeneric 0.8.1 py36_1
sip 4.18 py36_0
six 1.11.0 six 1.11.0 py36h4db2310_1 https://conda.binst
ar.org/anaconda
snowballstemmer 1.2.1 py36_0
sphinx 1.6.2 py36_0
sphinxcontrib 1.0 py36_0
sphinxcontrib-websupport 1.0.1 py36_0
sqlite 3.24.0 h7602738_0 anaconda
statsmodels 0.9.0 py36h452e1ab_0 anaconda
sympy 1.0 py36_0
tabulate 0.8.2 tensorflow 1.5.0 tensorflow-tensorboard 1.5.0 testpath 0.3.1 py36_0
theano 1.0.2 py36_0 https://conda.binst
ar.org/conda-forge
tk 8.6.8 hfa6e2cd_0 anaconda
toolz 0.9.0 py36_0 anaconda
tornado 4.5.2 py36_0
traitlets 4.3.2 py36_0
traittypes 0.2.1 py_1 conda-forge
vc 14.1 h0510ff6_3 https://conda.binst
ar.org/anaconda
vs2015_runtime 15.5.2 3 https://conda.binst
ar.org/anaconda
wcwidth 0.1.7 py36_0
Werkzeug 0.14.1 wheel 0.30.0 wheel 0.31.1 py36_1 https://conda.binst
ar.org/conda-forge
widgetsnbextension 3.4.2 py36_1000 conda-forge
wincertstore 0.2 py36_2 https://conda.binst
ar.org/conda-forge
xlrd 1.0.0 py36_0
xlwt 1.2.0 py36_0
zlib 1.2.11 h8395fce_2 anaconda
#———————————————————————
# python command to return list of installed packages
# help(‘modules’)
#
# Tuesday, January 15, 2019
#———————————————————————
Bio bleach lib2to3 scipy
BioSQL bokeh line_profiler seaborn
IPython builtins line_profiler_py35 secrets
OleFileIO_PL bz2 linecache select
PIL cProfile locale selectors
PyQt5 calendar logging setuptools
__future__ certifi lxml shelve
_ast cffi lzma shlex
_asyncio cgi macpath shutil
_bisect cgitb macurl2path signal
_blake2 chunk mailbox simplegeneric
_bootlocale cloudpickle mailcap sip
_bz2 cmath markdown sipconfig
_cffi_backend cmd markupsafe sipdistutils
_codecs code marshal site
_codecs_cn codecs math six
_codecs_hk codeop matplotlib skimage
_codecs_iso2022 collections memory_profiler sklearn
_codecs_jp colorama mimetypes smtpd
_codecs_kr colorsys mistune smtplib
_codecs_tw compileall mkl sndhdr
_collections concurrent mkl_fft snowballstemmer
_collections_abc configparser mkl_random socket
_compat_pickle contextlib mmap socketserver
_compression copy modulefinder sphinx
_csv copyreg more_itertools sphinxcontrib
_ctypes crypt mpmath sqlite3
_ctypes_test cryptography msilib sre_compile
_datetime csv msvcrt sre_constants
_decimal ctypes multiprocessing sre_parse
_distutils_findvs curses nbconvert ssl
_dummy_thread cycler nbformat stat
_elementtree cythonmagic netrc statistics
_functools dask networkx statsmodels
_hashlib datetime nntplib storemagic
_heapq dateutil notebook string
_imp dbm nt stringprep
_io decimal ntpath struct
_json decorator nturl2path subprocess
_line_profiler difflib numbers sunau
_locale dis numexpr surprise
_lsprof distutils numpy symbol
_lzma doctest nxpd sympy
_markupbase docutils olefile sympyprinting
_md5 dummy_threading opcode symtable
_msi easy_install openpyxl sys
_multibytecodec email operator sysconfig
_multiprocessing encodings optparse tabnanny
_opcode ensurepip os tabulate
_operator entrypoints packaging tarfile
_osx_support enum pandas telnetlib
_overlapped errno pandas_datareader tempfile
_pickle et_xmlfile pandocfilters tensorboard
_pydecimal faulthandler parser tensorflow
_pyio filecmp path test
_pytest fileinput pathlib test_path
_random fnmatch patsy testpath
_sha1 formatter pdb tests
_sha256 fractions pickle textwrap
_sha3 ftplib pickleshare theano
_sha512 functools pickletools this
_signal gc pip threading
_sitebuiltins genericpath pipes time
_socket getopt pkg_resources timeit
_sqlite3 getpass pkgutil tkinter
_sre gettext platform tlz
_ssl glob plistlib token
_stat gzip plotly tokenize
_string h5py pluggy toolz
_strptime hashlib poplib tornado
_struct heapq posixpath trace
_symtable hmac pprint traceback
_testbuffer html profile tracemalloc
_testcapi html5lib prompt_toolkit traitlets
_testconsole http pstats traittypes
_testimportmultiple idlelib psutil tty
_testmultiphase idna pty turtle
_thread imageio py turtledemo
_threading_local imagesize py_compile types
_tkinter imaplib pyclbr typing
_tracemalloc imghdr pycparser unicodedata
_warnings imp pydoc unittest
_weakref importlib pydoc_data urllib
_weakrefset inspect pyexpat uu
_winapi io pygments uuid
abc ipaddress pygpu venv
absl ipydatawidgets pylab warnings
aifc ipykernel pyparsing wave
alabaster ipykernel_launcher pyreadline wcwidth
antigravity ipyscales pytest weakref
argparse ipython_genutils pytest_arraydiff webbrowser
array ipyvolume pytest_doctestplus werkzeug
asn1crypto ipywebrtc pytest_openfiles wheel
ast ipywidgets pytest_remotedata widgetsnbextension
astropy itertools pythreejs wincertstore
asynchat jdcal pytz winreg
asyncio jedi pywt winsound
asyncore jinja2 qtconsole wsgiref
atexit joblib queue xdrlib
atomicwrites json quopri xlrd
attr jsonschema random xlwt
audioop jupyter re xml
autoreload jupyter_client readline xmlrpc
babel jupyter_console reprlib xxsubtype
base64 jupyter_core requests yaml
bdb jupyterlab requests_file zipapp
bin jupyterlab_launcher rlcompleter zipfile
binascii kernprof rmagic zipimport
binhex keyword runpy zlib
bisect kiwisolver sched zmq
#——————————————————————-
# conda install -c conda-forge nbsphinx -n py360 FAILED
#
# ERROR MSG: Installing conda-forge::nbsphinx-0.4.2-py_0 requires a minimum conda version of 4.3.
#
# Tuesday, January 15, 2019
#——————————————————————-
(py360) C:\Users\Evan>conda install -c conda-forge nbsphinx -n py360
Fetching package metadata ………….
Solving package specifications: ……….
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
nbsphinx: 0.4.2-py_0 conda-forge
Proceed ([y]/n)? y
Linking packages …
Installing conda-forge::nbsphinx-0.4.2-py_0 requires a minimum conda version of 4.3.
#——————————————————————-
# Check the current version of conda
#
# Returns: conda version : 4.2.13
#
# Tuesday, January 15, 2019
#——————————————————————-
C:\Users\Evan>conda info
Current conda install:
platform : win-64
conda version : 4.2.13
conda is private : False
conda-env version : 4.2.13
conda-build version : 1.3.5
python version : 3.4.5.final.0
requests version : 2.14.2
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
package cache : C:\Anaconda3\pkgs
channel URLs : https://conda.anaconda.org/anaconda/win-64
https://conda.anaconda.org/anaconda/noarch
https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : C:\Users\Evan\.condarc
offline mode : False
#——————————————————————-
# update conda – SUCCEEDED
#
# Tuesday, January 15, 2019
#——————————————————————-
C:\Users\Evan>conda update conda
Fetching package metadata ………..
Solving package specifications: ……….
Package plan for installation in environment C:\Anaconda3:
The following packages will be downloaded:
package | build
—————————|—————–
conda-4.3.30 | py34h3ba59da_0 545 KB anaconda
The following packages will be UPDATED:
conda: 4.2.13-py34_0 conda-forge –> 4.3.30-py34h3ba59da_0 anaconda
Proceed ([y]/n)? y
Pruning fetched packages from the cache …
Fetching packages …
conda-4.3.30-p 100% |###############################| Time: 0:00:00 2.42 MB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Unlinking packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
[ COMPLETE ]|##################################################| 100%
#——————————————————————-
# Check the current version of conda – AFTER conda update
#
# Returns: conda version : 4.3.30
#
# Tuesday, January 15, 2019
#——————————————————————-
C:\Users\Evan>conda info
Current conda install:
platform : win-64
conda version : 4.3.30
conda is private : False
conda-env version : 4.3.30
conda-build version : 1.3.5
python version : 3.4.5.final.0
requests version : 2.14.2
root environment : C:\Anaconda3 (writable)
default environment : C:\Anaconda3
envs directories : C:\Anaconda3\envs
C:\Users\Evan\AppData\Local\conda\conda\envs
C:\Users\Evan\.conda\envs
package cache : C:\Anaconda3\pkgs
C:\Users\Evan\AppData\Local\conda\conda\pkgs
channel URLs : https://conda.anaconda.org/anaconda/win-64
https://conda.anaconda.org/anaconda/noarch
https://repo.continuum.io/pkgs/main/win-64
https://repo.continuum.io/pkgs/main/noarch
https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/r/win-64
https://repo.continuum.io/pkgs/r/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : C:\Users\Evan\.condarc
netrc file : None
offline mode : False
user-agent : conda/4.3.30 requests/2.14.2 CPython/3.4.5 Windows/7 W
indows/6.1.7601
administrator : False
#———————————————————————-
# conda install -c conda-forge nbsphinx -n py360 SUCCEEDED
# Tuesday January 15, 2019
#———————————————————————-
C:\Users\Evan>conda install -c conda-forge nbsphinx -n py360
Fetching package metadata ……………..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
nbsphinx: 0.4.2-py_0 conda-forge
Proceed ([y]/n)? y
#————————————————————————
# conda install nb_conda -n py360 SUCCEEDED
#
# Conda environment and package access extension from within Jupyter
# This is a VERY COOL addition to the Jupyter notebook
#
# Startup Log for Jupyter Notebook after nb_conda is installed
# (py360) c:\Python Docs>jupyter-notebook
# [I 01:46:07.803 NotebookApp] [nb_conda_kernels] enabled, 0 kernels found
# [I 01:46:14.367 NotebookApp] [nb_conda] enabled
#
# A Conda tab is added to the Jupyter file browser. Selecting the Conda tab will display:
# A list of the Conda environments that current exist
# The list of Conda packages available in currently configured channels
# (http://conda.pydata.org/docs/config.html#channel-locations-channels)
# The list of packages installed in the selected environment.
#
# Thursday, January 17, 2019
#————————————————————————
C:\Users\Evan>conda install nb_conda -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
nb_conda: 2.2.1-py36_0 anaconda
nb_conda_kernels: 2.2.0-py36_0 anaconda
Proceed ([y]/n)? y
nb_conda_kerne 100% |###############################| Time: 0:00:00 2.55 MB/s
nb_conda-2.2.1 100% |###############################| Time: 0:00:00 2.63 MB/s
Enabling nb_conda_kernels…
Status: enabled
Enabling notebook extension nb_conda/main…
– Validating: ok
Enabling tree extension nb_conda/tree…
– Validating: ok
Enabling: nb_conda
– Writing config: C:\Anaconda3\envs\py360\etc\jupyter
– Validating…
nb_conda ok
#————————————————————-
# conda update theano -n py360 Istalled SUCCEEDED; but runtime ERROR in Jupyter notebook
#
# RuntimeError:
# To use MKL 2018 with Theano either update the numpy conda packages to
# their latest build or set “MKL_THREADING_LAYER=GNU” in your environment.
#
# StackOverflow query: “How to set “MKL_THREADING_LAYER=GNU” as an environment variable for a python script?”
# https://askubuntu.com/questions/974540/how-to-set-mkl-threading-layer-gnu-as-an-environment-variable-for-a-python-scr
#
# suggestion: conda install mkl=2018
#
# Thursday, January 17, 2019
#————————————————————-
C:\Users\Evan>conda update theano -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
m2w64-binutils: 2.25.1-5
m2w64-bzip2: 1.0.6-6
m2w64-crt-git: 5.0.0.4636.2595836-2
m2w64-gcc: 5.3.0-6
m2w64-gcc-ada: 5.3.0-6
m2w64-gcc-fortran: 5.3.0-6
m2w64-gcc-libgfortran: 5.3.0-6
m2w64-gcc-libs: 5.3.0-7
m2w64-gcc-libs-core: 5.3.0-7
m2w64-gcc-objc: 5.3.0-6
m2w64-gmp: 6.1.0-2
m2w64-headers-git: 5.0.0.4636.c0ad18a-2
m2w64-isl: 0.16.1-2
m2w64-libiconv: 1.14-6
m2w64-libmangle-git: 5.0.0.4509.2e5a9a2-2
m2w64-libwinpthread-git: 5.0.0.4634.697f757-2
m2w64-make: 4.1.2351.a80a8b8-2
m2w64-mpc: 1.0.3-3
m2w64-mpfr: 3.1.4-4
m2w64-pkg-config: 0.29.1-2
m2w64-toolchain: 5.3.0-7
m2w64-tools-git: 5.0.0.4592.90b8472-2
m2w64-windows-default-manifest: 6.4-3
m2w64-winpthreads-git: 5.0.0.4634.697f757-2
m2w64-zlib: 1.2.8-10
msys2-conda-epoch: 20160418-1
The following packages will be UPDATED:
theano: 1.0.2-py36_0 https://conda.binstar.o
rg/conda-forge –> 1.0.3-py36_0 anaconda
Proceed ([y]/n)? y
msys2-conda-ep 100% |###############################| Time: 0:00:00 295.00 kB/s
m2w64-gmp-6.1. 100% |###############################| Time: 0:00:00 4.90 MB/s
m2w64-headers- 100% |###############################| Time: 0:00:01 4.96 MB/s
m2w64-isl-0.16 100% |###############################| Time: 0:00:00 3.48 MB/s
m2w64-libiconv 100% |###############################| Time: 0:00:00 3.52 MB/s
m2w64-libmangl 100% |###############################| Time: 0:00:00 7.34 MB/s
m2w64-libwinpt 100% |###############################| Time: 0:00:00 5.09 MB/s
m2w64-make-4.1 100% |###############################| Time: 0:00:00 3.29 MB/s
m2w64-windows- 100% |###############################| Time: 0:00:00 579.40 kB/s
m2w64-crt-git- 100% |###############################| Time: 0:00:00 5.43 MB/s
m2w64-gcc-libs 100% |###############################| Time: 0:00:00 6.40 MB/s
m2w64-mpfr-3.1 100% |###############################| Time: 0:00:00 5.77 MB/s
m2w64-pkg-conf 100% |###############################| Time: 0:00:00 5.93 MB/s
m2w64-gcc-libg 100% |###############################| Time: 0:00:00 6.84 MB/s
m2w64-mpc-1.0. 100% |###############################| Time: 0:00:00 4.78 MB/s
m2w64-winpthre 100% |###############################| Time: 0:00:00 3.31 MB/s
m2w64-gcc-libs 100% |###############################| Time: 0:00:00 6.10 MB/s
m2w64-bzip2-1. 100% |###############################| Time: 0:00:00 5.13 MB/s
m2w64-tools-gi 100% |###############################| Time: 0:00:00 3.83 MB/s
m2w64-zlib-1.2 100% |###############################| Time: 0:00:00 5.77 MB/s
m2w64-binutils 100% |###############################| Time: 0:00:09 4.68 MB/s
m2w64-gcc-5.3. 100% |###############################| Time: 0:00:10 4.07 MB/s
m2w64-gcc-ada- 100% |###############################| Time: 0:00:10 3.34 MB/s
m2w64-gcc-fort 100% |###############################| Time: 0:00:04 2.27 MB/s
m2w64-gcc-objc 100% |###############################| Time: 0:00:03 4.59 MB/s
m2w64-toolchai 100% |###############################| Time: 0:00:00 327.10 kB/s
theano-1.0.3-p 100% |###############################| Time: 0:00:00 5.21 MB/s
#——————————————————————————-
# conda install mkl=2018 -n py360 SUCCEEDED into py360
#
# still get runtime error when importing into Jupyter notebook
#
# installed as remedy to runtime error when importing theano (see previous log)
#
# StackOverflow query: “How to set “MKL_THREADING_LAYER=GNU” as an environment variable for a python script?”
# https://askubuntu.com/questions/974540/how-to-set-mkl-threading-layer-gnu-as-an-environment-variable-for-a-python-scr
#
# suggestion: conda install mkl=2018
#
# Thursday, January 17, 2019
#——————————————————————————-
C:\Users\Evan>conda install mkl=2018 -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be SUPERSEDED by a higher-priority channel:
mkl: 2018.0.3-1 https://conda.binstar.org/anaconda –> 2018.0.3-1 anaconda
Proceed ([y]/n)? y
mkl-2018.0.3-1 100% |###############################| Time: 0:00:51 3.63 MB/s
C:\Users\Evan>
#———————————————————————————–
# conda install mkl=2018 SUCCEEDED into root
#
# still gets runtime error:
#
# Thursday, January 17, 2019
#———————————————————————————–
C:\Users\Evan>conda install mkl=2018
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3:
The following NEW packages will be INSTALLED:
intel-openmp: 2019.1-144 anaconda
mkl: 2018.0.3-1 anaconda
The following packages will be SUPERSEDED by a higher-priority channel:
conda-env: 2.6.0-1 conda-forge –> 2.6.0-1 anaconda
Proceed ([y]/n)?
conda-env-2.6. 100% |###############################| Time: 0:00:00 402.43 kB/s
intel-openmp-2 100% |###############################| Time: 0:00:00 4.83 MB/s
#———————————————————————————–
# To make theano work
# 1) set “MKL_THREADING_LAYER=GNU” in environment
# 1A) verify by typing SET at the command line in the CMD terminal
# 2) restart computer
# 3) import theano now works
#
# Thursday, January 17, 2019
#———————————————————————————–
#———————————————————————————–
# conda install graphviz -n py360 SUCCEEDED
# must FOLLOW up by BUILDING the Graphviz software
#
# Friday, January 18, 2019
#———————————————————————————–
C:\Users\Evan>conda install graphviz -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be SUPERSEDED by a higher-priority channel:
graphviz: 2.38.0-4 –> 2.38.0-4 anaconda
Proceed ([y]/n)? y
graphviz-2.38. 100% |###############################| Time: 0:00:06 5.75 MB/sC:\Users\Evan>conda install graphviz -n py360
Fetching package metadata ……………
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following packages will be SUPERSEDED by a higher-priority channel:
graphviz: 2.38.0-4 –> 2.38.0-4 anaconda
Proceed ([y]/n)? y
graphviz-2.38. 100% |###############################| Time: 0:00:06 5.75 MB/s
#————————————————————————–
# conda install -c conda-forge jsanimation -n py360 SUCCEEDED
#
# used in Jake Vander Plas’ game of life script
# http://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/
#
# Friday, January 18, 2019
#————————————————————————–
C:\Users\Evan>conda install -c conda-forge jsanimation -n py360
Fetching package metadata ……………..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda3\envs\py360:
The following NEW packages will be INSTALLED:
jsanimation: 0.1-py_1 conda-forge
Proceed ([y]/n)? y
jsanimation-0. 100% |###############################| Time: 0:00:00 230.06 kB/s
# ———————————————————————
# pip install binarytree – SUCCEEDED
#
# Friday, February 22, 2019
# ———————————————————————
(py360) c:\Temp>cd c:\python docs
(py360) c:\Python Docs>pip install binarytree
Collecting binarytree
Downloading https://files.pythonhosted.org/packages/4f/df/43fe21208abbb67a37
aa1b970de64984b95959610b00d68316302b5fcd/binarytree-4.0.0.tar.gz
Building wheels for collected packages: binarytree
Running setup.py bdist_wheel for binarytree … done
Stored in directory: C:\Users\Evan\AppData\Local\pip\Cache\wheels\f0\a2\28\6
6a7ac05e3a38d3f3823bc6a3839ed5035de2819f4ca71cd
Successfully built binarytree
Installing collected packages: binarytree
Successfully installed binarytree-4.0.0