Previous edition: 2016. Includes bibliographical references and index.
Contents:
Development setup -- A language-learning bridge between Python and JavaScript -- Reading and writing data with Python -- Webdev 101 -- Getting data off the web with Python -- Heavyweight scraping with Scrapy -- Introduction to NumPy -- Introduction to pandas -- Cleaning data with pandas -- Visualizing data with Matplotlib -- Exploring data with pandas -- Delivering the data -- RESTful data with Flask -- Bringing your charts to the web with Matplotlib and Plotly -- Imagining a nobel visualization -- Building a visualization -- Introducing D3 : the story of a bar chart -- Visualizing individual prizes -- Mapping with D3 -- Visualizing individual winners -- The menu bar -- Conclusion.
Summary:
"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."--Publisher marketing.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.