さくらVPS CentOS7にPython3を入れる
# yum install gcc zlib-devel bzip2 bzip2-devel readline readline-devel sqlite sqlite-devel openssl openssl-devel git
# git clone https://github.com/yyuu/pyenv.git ~/.pyenv
# vim .bash_profile
下記を追記
# pyenv
export PYENV_ROOT="$HOME/.pyenv"
export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"
# source .bash_profile
# pyenv install --list
# pyenv install 3.5.1
# pyenv global 3.5.1
# pyenv rehash
# python --version
Python 3.5.1
追記:
pyenvで生pythonを入れたが、
分析環境はAnacondaが良いとのことなので、
以下を参考に入れ直し。
データサイエンティストを目指す人のpython環境構築 2016 - Qiita
pyenv install anaconda3-4.1.1
続いて『ゼロから作るDeep Learning』本を参考に、ライブラリ準備
>>>import numpy as np
>>> np.random.rand(100)
array([ 0.86892336, 0.66170946, 0.05887993, 0.42099383, 0.80438276,
0.19044123, 0.23335116, 0.31559316, 0.88670526, 0.82667895,
0.79776356, 0.80881683, 0.99474501, 0.05019365, 0.19625688,
0.86203096, 0.29162751, 0.72087276, 0.40451478, 0.36296256,
0.89809188, 0.46221825, 0.5993458 , 0.0626044 , 0.68405878,
0.01012476, 0.83778932, 0.56676707, 0.18140237, 0.97366154,
0.49387919, 0.57424144, 0.44275469, 0.14197617, 0.04196403,
0.9784503 , 0.59244845, 0.09614099, 0.58814902, 0.18990487,
0.62918135, 0.33347414, 0.86367738, 0.89845232, 0.13748251,
0.03077333, 0.08952327, 0.95140962, 0.76248493, 0.37645204,
0.59090669, 0.33756122, 0.94142886, 0.37007636, 0.35679969,
0.50614196, 0.20450811, 0.94660012, 0.95909313, 0.84177225,
0.79149603, 0.5654826 , 0.38281388, 0.70233475, 0.34317186,
0.40587616, 0.50553225, 0.60524493, 0.08440945, 0.74772122,
0.9691486 , 0.00477779, 0.8752755 , 0.33538002, 0.73304029,
0.12212355, 0.47077921, 0.92045206, 0.52865073, 0.2070013 ,
0.72662729, 0.0087631 , 0.26692977, 0.63211109, 0.56244538,
0.51641049, 0.67545334, 0.79915446, 0.28771985, 0.34116686,
0.24343494, 0.18029586, 0.98822042, 0.10098339, 0.75538892,
0.60376798, 0.03763307, 0.09447491, 0.24395278, 0.81511218])
Python3系の最速文法メモは以下。
qiita.com