Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data, (Paperback)

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Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data, (Paperback)
Author: O'Reilly Media
ISBN: 9781098111878
Format: Paperback
Publication Date: 2023-01-17
Page Count: 566

Specs

Book format
Paperback
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Pub date
2023-01-17
Pages
566
Reading level
General

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How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries.

Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started.

You'll learn how to:

Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup
Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn
Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API
Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web
Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries

Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data, (Paperback)
Author: O'Reilly Media
ISBN: 9781098111878
Format: Paperback
Publication Date: 2023-01-17
Page Count: 566

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Specifications

Book format

Paperback

Fiction/nonfiction

Non-Fiction

Genre

Computing & Internet

Pub date

2023-01-17

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