This tutorial is modified from the Python for Basic Data Analysis tutorials developed by the National Technical University of Singapore and licensed under a CC BY-NC 4.0 license.
This interactive guide is designed to take you through a self-paced introduction to using Python for Data Analysis and Visualization.
The guide is divided into interactive sections that contain an overview of the topic, video tutorials, and exercises for practice. Use the tabs across the top of each section to view all of the instructional material.
Throughout each section, Trinket IDEs are embedded for practice. The code you produce can be saved or downloaded, but it's best to open your own IDE and work through the exercises.