By Kyran Dale
Learn tips to flip uncooked facts into wealthy, interactive net visualizations with the robust blend of Python and JavaScript. With this hands-on consultant, writer Kyran Dale teaches you ways construct a uncomplicated dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting attractive, browser-based visualizations.
As a case in point, through the publication Dale walks you thru reworking Wikipedia’s table-based record of Nobel Prize winners into an interactive visualization. You’ll learn steps alongside the full toolchain, from scraping, cleansing, exploring, and providing info to development the visualization with JavaScript’s D3 library. If you’re able to create your personal web-based information visualizations—and comprehend both Python or JavaScript— this is often the e-book for you.
- Learn the right way to manage information with Python
- Understand the commonalities among Python and JavaScript
- Extract details from web pages by utilizing Python’s web-scraping instruments, BeautifulSoup and Scrapy
- Clean and discover facts with Python’s Pandas, Matplotlib, and Numpy libraries
- Serve facts and create RESTful internet APIs with Python’s Flask framework
- Create attractive, interactive internet visualizations with JavaScript’s D3 library
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Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data by Kyran Dale
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