In a world that increasingly expects more than pre-rendered, static images, Python and Javascript are the perfect complement for turning data into rich, interactive visualizations. Developers need to know how to turn raw, unprocessed data often "dirty" or malformed into dynamic web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and Javascript libraries to do so, using engaging examples and stressing hard-earned best-practices.
You'll learn how to: Get data programmatically, using scraping tools or web APIsClean and process data using Python's heavyweight data-processing librariesDeliver data to a browser using a lightweight Python server (Flask)Receive data and use it to create a web visualization, using D3, Canvas, or WebGL"
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.