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USED-Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data by Dale, Kyran (Paperback)
USED-Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data by Dale, Kyran (Paperback)
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Details
LanguageEnglish
Cover TypeSoft Cover
AuthorDale, Kyran
Isbn/Issn9781491920510
PublisherO'Reilly Media
Year2016
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Product description
About our used conditions ratings:
·Like New: An apparently unread copy in excellent condition. The dust cover is intact, and the pages are clean and not marred by notes or folds of any kind.
·Very Good: A copy that has been read, but remains in excellent condition. May have writing on the inside cover but pages are unmarred.
·Good: A copy that has been read, but remains in clean condition. All pages and covers are intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions.
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
1.9 pounds
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