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Detalles bibliogr�ficos

T�tulo: Data Visualization with Python and ...

Editorial: O'Reilly Media

A�o de publicaci�n: 2016

Encuadernaci�n: paperback

Condici�n: Good

Edici�n: 1st Edition.

Acerca de

Sinopsis:

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

Acerca del autor:

Kyran Dale is a jobbing programmer, ex research-scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. During 15 odd years as a research scientist he hacked a lot of code, learned a lot of libraries and settled on some favourite tools. These days he finds Python, Javascript and a little C++ goes a long way to solving most problems out there. He specializes in fast-prototyping and feasibility studies, with an algorithmic bent but is happy to just build cool things.

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