Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries, including Scrapy, Matplotlib, Pandas, Flask, and D3, for crafting engaging, browser-based visualizations. 

<ASIN:1491920513> 

Author: Kyran Dale
Publisher: O'Reilly
Date: March 2016
Pages: 592
ISBN: 978-1491920510
Print: 1491920513
KIndle: B01HSMKJIA
Audience: Those who already know some Python or JavaScript
Level: Intermediate
Category:Data Science, Python, JavaScript  

As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. 

• Learn how to manipulate data with Python
• Understand the commonalities between Python and JavaScript
• Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy
• Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries
• Serve data and create RESTful web APIs with Python’s Flask framework
• Create engaging, interactive web visualizations with JavaScript’s D3 library

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