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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435
21.2 今後の進展
ライスを簡単に実行でき、大抵はデータの感触をつかみ、可視化で伝えたい興味深い貴重な情
報を探せることを説明しました。
第Ⅳ部 データの配信
第Ⅳ部では、
Flask
を使って最小限のデータ
API
を作成して
Web
ブラウザに静的および動的の
どちらでもデータを容易に配信できることを説明しました。
•
まず
Flask
を使用して静的ファイルを提供する方法を示してから、独自の基本的な
RESTful
API
に取りかかりローカルのデータベースからデータを提供する方法を説明しました。
Flask
のミニマリズムのおかげで、
Python
データ処理とブラウザ上での最終的な可視化までの間に
とても薄いデータ提供層を構築できます。
•
オープンソースソフトウェアが素晴らしいのは、自分で対応するよりもうまく問題を解決す
る堅牢で使いやすいライブラリが既に存在することが多いことです。
2
つの
Flask
ベースの
RESTful API
を使い、設定ファイルだけでデータを提供できることを実証しました。
Python
Eve
は優れた
MongoDB
ベースの
RESTful API
ライブラリで、
Flask-Restless
は
SQL
データ
ベースからのデータ提供を容易にします。
第Ⅴ部
D3
を使ったデータの可視化
第Ⅴ部は挑戦的だと言っていいと思いますが、おそらく最終的に作成することになる複数要素の
可視化を構築する例を示すことにしました。
D3
で嬉しいことの
1
つは膨大な数のサンプル（
http://
bl.ocks.org/enjalot/raw/211bd42857358a60a936/ ...
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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.