November 2018
Intermediate to advanced
272 pages
6h 51m
Japanese
book
エレガントなSciPy ―Pythonによる科学技術計算
by Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, 山崎 邦子, 山崎 康宏
Content preview from エレガントなSciPy ―Pythonによる科学技術計算
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234
エピローグ
•
○「以下の方法でガウス分布に従う乱数の大きなリストを生成しようとしました。
gauss =
[np.random.randn()] * 10**5
。でも
np.mean(gauss)
を計算すると、思ったほどゼロに近く
なりません。どこがいけないのでしょうか？
全体のスクリプトは以下に添付してあります。」
E.1.2
GitHub
まえがきでは、
GitHub
の紹介もしました。
本書で解説したコードはすべて
GitHub
から入手できます。
• NumPy
（
https://github.com/numpy/numpy
）
• SciPy
（
https://github.com/scipy/scipy
）
それ以外にも多くのコードが置かれています。いずれかのコードが期待通りに動かない場合は、
バグの可能性があります。しばらく調査した後で、やはりバグを見つけたという確信が持てた場合
には、
GitHub
中にある関連のあるリポジトリの「
issues
」タブをクリックして、新しいイシュー
を作りましょう。これで、確実にそのバグがライブラリ開発者の視野に入り、（願わくば）次の
バージョンでは直されるでしょう。ところで、この助言は、ドキュメントの「バグ」にも該当しま
す。もしライブラリのドキュメントにわかりにくいところがあれば、イシューを立てましょう！
イシューを立てるよりもさらによいのは、プルリクエストを送ることです。ライブラリのドキュ
メントを改善する目的のプルリクエストは、オープンソースの世界を初めて体験するのにとてもよ ...
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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.