July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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10
1
章 はじめに
いくつかの
Linux
ディストリビューションでは、必要なすべての
Python
パッケージがパッ
ケージマネージャに含まれており、
apt
のようなツールでインストールすることができま
す。ここで紹介しているセットアップでは
Anaconda
のスクリプトを使っていますが、これ
はディストリビューション間で簡単に環境を再現でき、かつ、シンプルに最新バージョンに
アップグレードできるからです。
ライセンスに同意した後、どこに
Anaconda
のファイルを置くかの選択が求められます。これはホー
ムディレクトリのデフォルトの場所に配置するのはお勧めします。例えば、
/home/$USER/anaconda
（
$USER
はあなたのユーザ名です）です。
Anaconda
インストーラは、その
bin/
ディレクトリを
$PATH
変数の先頭部分に追記したいかを確認し
ます。もし、インストール後に何らかの不具合が発生した場合、これと同じことは.
bashrc（もし
zsh
を
使っているなら.zshrc）を次のように修正することでできます。
export PATH=/home/$USER/anaconda/bin:$PATH
この修正の後には、ターミナルを新しく起動するか、あるいは
source ~/.bashrc
のようにし
て.bashrcを再実行します。
1.4.4
Python
パッケージのインストールとアップデート
この本を読み進めていく中で、
Anaconda
に含まれていない追加の
Python
パッケージをインストール
した
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.