文件名称:Data Visualization with Python and JavaScript Scrape, Clean, Explore & Transform
文件大小:6.29MB
文件格式:RAR
更新时间:2021-08-17 05:17:01
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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
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Data Visualization with Python and JavaScript Scrape, Clean, Explore & Transform Your Data.pdf