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Data Visualization with Python and JavaScript : Scrape, Clean, Explore, and Transform Your Data by Kyran Dale (2023, Trade Paperback)

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About this product

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-101098111877

ISBN-139781098111878

eBay Product ID (ePID)18057260051

Product Key Features

Number of Pages566 Pages

LanguageEnglish

Publication NameData Visualization with Python and Javascript : Scrape, Clean, Explore, and Transform Your Data

SubjectProgramming / Open Source, General, Data Visualization, Data Processing

Publication Year2023

TypeTextbook

Subject AreaMathematics, Computers

AuthorKyran Dale

FormatTrade Paperback

Dimensions

Item Height1.3 in

Item Weight33.7 Oz

Item Length9.2 in

Item Width7 in

Additional Product Features

Edition Number2

Dewey Edition23

IllustratedYes

Dewey Decimal001.4226

SynopsisHow 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

LC Classification NumberQA76.9.I52D35 2023