March 2021
Intermediate to advanced
800 pages
8h 35m
Japanese
Content preview from 入門 Python 3 第2版
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12章データの自在な操作
データを十分絞り上げれば、自然はかならず自白する。
──ロナルド・コース
今までは、Python言語自体を話題にしていた：Pythonのデータ型、コード構造、構文といったことだ。これからは、Pythonを実世界の問題に応用していく。
この章では、データを自在に操るための実用的なテクニックをいくつも学ぶ。この種の作業は、データマンジングとか、もっとビジネスライクにETL（extract：抽出、transform：変換、load：ロード）と呼ばれる。プログラミングについての本がこのテーマを表立って取り上げることはまずないが、プログラマたちは、目的に合った形にデータを加工するために多くの時間を費やしている。
ここ数年、データサイエンスと呼ばれる専門分野が人気を集めてきている。Harvard Business Reviewには、データサイエンティストこそ「21世紀でもっともかっこいい職業だ」という記事＊1が載った。需要があって給料が高ければよさそうな話だが、この仕事は単なる重労働という以上の難しさがある。データサイエンスは、データベースのETLで求められることをはるかに越えて、人間の目には見えない知見を暴くために機械学習を駆使することが多い。
＊1 監訳注：Harvard business review, October 2012
この章では、まず、データ形式の基本的なところから始め、データサイエンスに役立つ最新ツールに進んでいく。
データ形式は大きくテキストとバイナリの2種類に分類される。テキストデータには、Pythonの文字列が使えるが、この章では今まで省略してきた文字列に関する2つの重要なテーマを取り上げる。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.