Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data-Kyran Dale
In a world that increasingly expects more than pre-rendered, static images, Python and javascript are the perfect complement for turning data into rich, interactive visualizations. Developers need to know how to turn raw, unprocessed data—often «dirty» or malformed—into dynamic 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-practices.
Youll learn how to:
Get data programmatically, using scraping tools or web APIs
Clean and process data using Pythons 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
#eama #evba #etipfreeYoull learn how to:
Get data programmatically, using scraping tools or web APIs
Clean and process data using Pythons 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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