O’Reilly Media, 2016. — 592 p. — ISBN: 978-1-098-11187-8.
С помощью этого практического руководства автор научит вас, как создать базовую цепочку инструментов для визуализации данных с использованием лучших в своем классе библиотек Python и JavaScript, включая Scrapy, Matplotlib, Pandas, Flask и D3, для создания увлекательных визуализаций на основе браузера.
Вы изучите этапы всей цепочки инструментов: от очистки, очистки, изучения и доставки данных до создания визуализации с помощью библиотеки JavaScript D3
Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript librariesâ?including Scrapy, Matplotlib, Pandas, Flask, and D3â?for crafting engaging, browser-based visualizations.
As a working example, throughout the book Dale walks you through transforming Wikipediaâ?s table-based list of Nobel Prize winners into an interactive visualization. Youâ?ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScriptâ?s D3 library. If youâ?re ready to create your own web-based data visualizationsâ?and know either Python or JavaScriptâ? this is the book for you.
Learn how to manipulate data with Python
Understand the commonalities between Python and JavaScript
Extract information from websites by using Pythonâ?s web-scraping tools, BeautifulSoup and Scrapy
Clean and explore data with Pythonâ?s Pandas, Matplotlib, and Numpy libraries
Serve data and create RESTful web APIs with Pythonâ?s Flask framework
Create engaging, interactive web visualizations with JavaScript D3 library