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portada Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data
Type
Physical Book
Author
Publisher
Year
2023
Language
English
Pages
550
Format
Paperback
Dimensions
23.1x17.5x3 cm
Weight
0.90 kg.
ISBN13
9781098111878
Edition No.
0002
Categories

Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data

Kyran Dale (Author) · O'Reilly Media · Paperback

Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data - Dale, Kyran

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Synopsis "Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data "

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

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