This PhD+ Data Literacy: Intro to Python series will introduce students to programming in the language. Python is a popular language widely used for data analysis and machine learning. The sessions will be taught in a "flipped classroom" manner: students will study learning materials prior to each session and come to online workshop sessions vis Zoom for questions and receive instructors’ assistance with programming projects.
We recommend registering and committing to attend all four sessions. Spots are limited.
- Setting up your environment
- Jupyter and Spyder. Variables, expressions, and statements. Lists and tuples.
This session will introduce Python through the Anaconda distribution from Anaconda, Inc. We will use JupyterLab as well as the Spyder Integrated Development Environment. After setting up our environment and exploring the two interfaces, we will cover the basic variables and types.
Please register by August 31 for further instructions on course materials and Zoom.
Instructors
Katherine Holcomb - Computational Research Consultant
Erich Purpur - Science and Engineering Librarian