Description
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 analystsas well as Python and JavaScript developershow 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 cant compare with Pythons. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started.
Youll learn how to:
Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup
Clean and process data using Pythons 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 youve mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries
Author: Kyran Dale
Binding Type: Paperback
Publisher: OReilly Media
Published: 01/17/2023
Pages: 566
Weight: 1.98lbs
Size: 9.10h x 6.90w x 1.20d
ISBN: 9781098111878
Language: English
Reviews
There are no reviews yet.