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πŸ“

Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data

✍ Scribed by Kyran Dale

Publisher
O’Reilly Media
Year
2016
Tongue
English
Leaves
550
Edition
1
Category
Library
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✦ Synopsis

Python and Javascript are the perfect complement for turning data into rich, interactive web visualizations, in a world that increasingly expects more than a pre-rendered, static image. Developers need to know how to turn raw, unprocessed data, often "dirty" or malformed, into dynamic, interactive web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and Javascript libraries to do so, using engaging examples and stressing hard-earned best-practice.

You’ll learn how to:

  • Get data programmatically, using scraping tools or web APIs
  • Clean and process data using Python’s heavyweight data-processing libraries
  • Deliver data to a browser using a lightweight Python server (Flask)
  • Receive data and use it to create a web visualization, using D3, Canvas, or WebGL

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