August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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167
7
章
NumPy
入門
本章は、
Numeric Python
ライブラリ（
NumPy
）を知らない人に紹介することが目的です。
NumPy
は
pandas
の重要な構成要素です。
pandas
は、前章でスクレイピングしたノーベル賞デー
タセット（
6
章を参照）のクリーニングと探索を行うために以降の章で使う強力なデータ解析ライ
ブラリです。
pandas
を最大限に活用するには、
NumPy
の中心となる要素と原理の基本を理解す
ることが重要です。したがって、本章では次の
pandas
入門のための基礎を説明することに重点を
置きます。
NumPy
は高速な多次元配列操作を可能にする
Python
モジュールで、
C
と
Fortran
で書かれた
低水準ライブラリで実装されています
†
。もともと
Python
の大量データの処理は比較的遅いので
すが、
NumPy
では大きな配列に対して一斉に並列操作を実行できるのでとても高速になります。
NumPy
が
pandas
を含むほとんどの重量
Python
データ処理ライブラリの主要な構成要素である
ことを考えると、
Python
データ処理世界の要としての地位に異論はないでしょう。
NumPy
の巨大なエコシステムには、
pandas
だけでなく
Science Python
（
SciPy
）も含まれま
す。
SciPy
は、本格的な科学計算モジュールで
NumPy
を補います。
Scikit-learn
は、分類や特徴
量抽出などの分野の最近の機械学習アルゴリズムを数多く備えています。また、
NumPy
の多次元
配列を主要なデータオブジェクトとして使うその他の多数の特殊ライブラリもあります。この意味 ...
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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.