Python Camp is a non-credit, hands-on, intensive mini-course offered by GW Libraries and Academic Innovation (GW LAI) for the GW community. Python Camp introduces foundational programming practice using the Python language, with a focus on building skill through both team-based activities and self-guided exercises. The aim is to expose participants to the core concepts of programming, while providing a sufficient foundation in Python syntax and programming patterns to allow participants to build upon their learning in other contexts.

Participation is free for members of the GW community, though application by September 30, 2025, is required. While we are not able to offer academic credit, participants who successfully complete Python Camp will receive a certificate of completion from GW LAI. Participants should expect to spend at 4 hours a day learning together, and at least 1-2 hours per day doing self-guided homework. Additional assistance with homework is available throughout the Camp.

This workshop is part of the Using Programming and Code for Research series for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.

This workshop is part of the Program with Python series for for anyone who wants to get started or learn more about using the programming language Python. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.

This workshop is part of the Open Source Solutions series for GW community members looking to use open source tools like Python, R, and QGIS for data collection, analysis, and visualization. To learn more about open source tools, open science, or open scholarship at GW, visit the Open Source Program Office’s website.

All sessions are free to GW students, faculty, and staff. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact libraryevents@gwu.edu at least 72 business hours (3 business days) prior to the event.