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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6
1
章 はじめに
ルトで使う可視化ツールとして安全な選択肢であると言えるでしょう。
1.3.4
IPython
と
Jupyter
IPython
プロジェクト（
http://ipython.org
）は、
2001
年に
Fernando Pérez
の非業務プロジェクトとし
て始まり、よりよい対話的な
Python
インタプリタを作ることを目指していました。その後の
16
年間で、
IPython
はモダンな
Python
のデータ分析環境において最も重要なツールの
1
つになりました。
IPython
自体は、分析機能や計算機能を提供しているわけではありませんが、対話的な計算においてもソフト
ウェア開発においても最大限に生産性を上げられるように、徹底的に設計されています。
IPython
は、
実行して試行錯誤する状況での利用を推奨していて、他のプログラミング言語にあるように編集して
コンパイルし、実行する状況での利用は推奨していません。
IPython
では
、
OS
のシェルやファイルシ
ステムへも簡単にアクセスできるようになっています。データ分析のコーディング時には、探索や試行
錯誤、繰り返し作業をすることが多いため、
IPython
は作業の高速化を手助けしてくれるでしょう。
2014
年に、
Fernando
と
IPython
チームは、言語に依存しない対話的な計算ツールを設計する大きな
取り組みとして
Jupyter
プロジェクト（
http://jupyter.org
）を発表しました。
IPython web notebook
は、
Jupyter
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.