Python has a wide array of libraries with different versions and many dependencies that you can install on your computer to aid in your research. What do you do when you want to install a new library with dependencies that would conflict with another library you use? The answer is to define self-contained virtual environments. In this workshop, we will cover why and how to create virtual environments for your Python code development.

Prerequisites: Participants should be familiar with Python at the level of the Python Fundamentals Bootcamp, another introductory Python workshop, or be a self-taught Python coder.

Next Steps in Python is a series of workshops that will help you improve your research code through new packages, skills, and other tips. You do not need to attend each session to participate. Each one-hour session meets via Zoom on a Monday at noon, CDT.

This workshop series complements our other data science services and support for researchers. All Northwestern researchers (student, staff, and faculty in all fields) can request free consultations with our Data Scientists and Statisticians to guide you through your data project, from considering the feasibility and choosing a method to troubleshooting the code and suggesting improvements. If you're looking for more extensive support, we partner on faculty-sponsored research through our project collaboration service.

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