Data Visualization with Python and JavaScript

Scrape, Clean, Explore & Transform Your Data

Nonfiction, Computers
Cover of the book Data Visualization with Python and JavaScript by Kyran Dale, O'Reilly Media
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Author: Kyran Dale ISBN: 9781491920534
Publisher: O'Reilly Media Publication: June 30, 2016
Imprint: O'Reilly Media Language: English
Author: Kyran Dale
ISBN: 9781491920534
Publisher: O'Reilly Media
Publication: June 30, 2016
Imprint: O'Reilly Media
Language: English

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 libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations.

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. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— 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 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations.

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. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you.

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