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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15
2
章
Python
の基礎、
IPython
と
Jupyter Notebook
私がこの本の初版を書いた
2011
年から
2012
年の時点では、
Python
でのデータ分析を学習しようと
思ったときに利用できるリソースはごく限られていました。ある意味これは鶏と卵の問題に近いのです
が、現在私たちが当たり前に利用している
pandas
、
scikit-learn
や
statsmodels
といったライブラリは、
当時はまだ成熟しきっていない状態でした。それが
2017
年現在では、計算機科学者、物理学者といっ
た特定の分野の研究者を対象としていたそれまでの大規模科学計算の業績を補完する形で、データサ
イエンス、データ分析、また機械学習といった分野の文献が増え続けています。また
Python
言語その
ものを学び、また素晴らしいソフトウェアエンジニアになるのに役立つ素晴らしい書籍も多く存在して
います。
私は、この本を
Python
でデ
ータ分析するための入門テキストとして位置づけたいと考えています。
そこで、データ分析の観点から、
Python
組み込みのデータ型とライブラリについてのいくつかの重要
な機能をまとめて紹介したいと思います。よって、この章と「3章 Python組み込みのデータ構造と
関数、ファイルの扱い」では概要を示すに留め、細かな部分については残りの章で補足できるようにし
ます。
効率的にデータ分析できるようになるために、
Python
で良いソフトウェアを構築できるようになる
必要はない、というのが私の持論です。私が強調し ...
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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.