pyenv
$ brew install pyenv
$ vi ~/.bash_profile
# python
PYENV_ROOT=~/.pyenv
export PATH=$PATH:$PYENV_ROOT/bin
eval "$(pyenv init -)"
$ source ~/.bash_profile
$ python -V
Python 2.7.13
$ pyenv version
system (set by /Users/takahiro/.pyenv/version)
$ pyenv help
Usage: pyenv <command> [<args>]
Some useful pyenv commands are:
commands List all available pyenv commands
local Set or show the local application-specific Python version
global Set or show the global Python version
shell Set or show the shell-specific Python version
install Install a Python version using python-build
uninstall Uninstall a specific Python version
rehash Rehash pyenv shims (run this after installing executables)
version Show the current Python version and its origin
versions List all Python versions available to pyenv
which Display the full path to an executable
whence List all Python versions that contain the given executable
anaconda
Die meisten in der Datenwissenschaft verwendeten Bibliotheken sind im Voraus enthalten.
$ pyenv install -l | grep anaconda3
anaconda3-2.0.0
anaconda3-2.0.1
anaconda3-2.1.0
anaconda3-2.2.0
anaconda3-2.3.0
anaconda3-2.4.0
anaconda3-2.4.1
anaconda3-2.5.0
anaconda3-4.0.0
anaconda3-4.1.0
anaconda3-4.1.1
anaconda3-4.2.0
$ pyenv install anaconda3-4.2.0
$ pyenv versions
* system (set by /Users/takahiro/.pyenv/version)
anaconda3-4.2.0
$ pyenv shell anaconda3-4.2.0
$ pyenv version
anaconda3-4.2.0 (set by PYENV_VERSION environment variable)
$ python -V
Python 3.5.2 :: Anaconda 4.2.0 (x86_64)
$ pyenv global anaconda3-4.2.0
$ conda -h
usage: conda [-h] [-V] command ...
conda is a tool for managing and deploying applications, environments and packages.
Options:
positional arguments:
command
info Display information about current conda install.
help Displays a list of available conda commands and their help
strings.
list List linked packages in a conda environment.
search Search for packages and display their information. The input
is a Python regular expression. To perform a search with a
search string that starts with a -, separate the search from
the options with --, like 'conda search -- -h'. A * in the
results means that package is installed in the current
environment. A . means that package is not installed but is
cached in the pkgs directory.
create Create a new conda environment from a list of specified
packages.
install Installs a list of packages into a specified conda
environment.
update Updates conda packages to the latest compatible version. This
command accepts a list of package names and updates them to
the latest versions that are compatible with all other
packages in the environment. Conda attempts to install the
newest versions of the requested packages. To accomplish
this, it may update some packages that are already installed,
or install additional packages. To prevent existing packages
from updating, use the --no-update-deps option. This may
force conda to install older versions of the requested
packages, and it does not prevent additional dependency
packages from being installed. If you wish to skip dependency
checking altogether, use the '--force' option. This may
result in an environment with incompatible packages, so this
option must be used with great caution.
upgrade Alias for conda update. See conda update --help.
remove Remove a list of packages from a specified conda environment.
uninstall Alias for conda remove. See conda remove --help.
config Modify configuration values in .condarc. This is modeled
after the git config command. Writes to the user .condarc
file (/Users/takahiro/.condarc) by default.
clean Remove unused packages and caches.
package Low-level conda package utility. (EXPERIMENTAL)
$ conda info
Current conda install:
platform : osx-64
conda version : 4.2.9
conda is private : False
conda-env version : 4.2.9
conda-build version : 2.0.2
python version : 3.5.2.final.0
requests version : 2.11.1
root environment : /Users/takahiro/.pyenv/versions/anaconda3-4.2.0 (writable)
default environment : /Users/takahiro/.pyenv/versions/anaconda3-4.2.0
envs directories : /Users/takahiro/.pyenv/versions/anaconda3-4.2.0/envs
package cache : /Users/takahiro/.pyenv/versions/anaconda3-4.2.0/pkgs
channel URLs : https://repo.continuum.io/pkgs/free/osx-64/
https://repo.continuum.io/pkgs/free/noarch/
https://repo.continuum.io/pkgs/pro/osx-64/
https://repo.continuum.io/pkgs/pro/noarch/
config file : None
offline mode : False
$ conda list | grep pandas
pandas 0.18.1 np111py35_0
$ conda list | grep tensorflow
$ conda install -c conda-forge tensorflow
$ python
Python 3.5.2 |Anaconda 4.2.0 (x86_64)| (default, Jul 2 2016, 17:52:12)
[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> node1 = tf.constant(3.0, tf.float32)
>>> node2 = tf.constant(4.0) # also tf.float32 implicitly
>>> print(node1, node2)
Tensor("Const:0", shape=(), dtype=float32) Tensor("Const_1:0", shape=(), dtype=float32)
>>> sess = tf.Session()
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
>>> print(sess.run([node1, node2]))
[3.0, 4.0]
$ pyenv install -l | grep anaconda2
anaconda2-2.4.0
anaconda2-2.4.1
anaconda2-2.5.0
anaconda2-4.0.0
anaconda2-4.1.0
anaconda2-4.1.1
anaconda2-4.2.0
$ pyenv install anaconda2-4.2.0
$ pyenv versions
system
anaconda2-4.2.0
* anaconda3-4.2.0 (set by PYENV_VERSION environment variable)
$ mkdir py2
$ cd py2
$ pyenv local anaconda2-4.2.0
$ pyenv version
anaconda2-4.2.0 (set by /Users/takahiro/workspace/py2/.python-version)
$ python -V
Python 2.7.12 :: Anaconda 4.2.0 (x86_64)
$ conda create -n tensorflow
$ conda info -e
# conda environments:
#
tensorflow /Users/takahiro/.pyenv/versions/anaconda3-4.2.0/envs/tensorflow
root * /Users/takahiro/.pyenv/versions/anaconda3-4.2.0
$ pyenv versions
system
anaconda2-4.2.0
* anaconda3-4.2.0 (set by /Users/takahiro/.pyenv/version)
anaconda3-4.2.0/envs/tensorflow
$ mkdir tensorflow
$ cd tensorflow
$ pyenv local anaconda3-4.2.0/envs/tensorflow
$ pyenv version
anaconda3-4.2.0/envs/tensorflow (set by /Users/takahiro/workspace/tensorflow/.python-version)
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