Pandas DataFrames in Jupyter Notebooks Online
Note: This workshop is online only.
Are you working with datasets, but want a more flexible environment for data cleaning, extraction and/or analysis? Pandas is an open-source Python library for data structuring and analysis. Its capabilities are flexible and can be integrated with other Python Libraries. It is also efficient for automating repetitive processes.
This workshop introduces Pandas using a notebook environment. Jupyter Notebook is a web-based environment for interactive computing that helps researchers and scientists easily view programming output. In contrast to traditional programming environments, users can view output one section at a time, which can help for breaking down tasks and debugging. There is no need for console knowledge.
This workshop requires some prior experience with a programming language. Participants should be familiar with the definition and use of libraries, methods, and attributes.
- Date:
- Wednesday, September 24, 2025
- Time:
- 2:00pm - 4:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Faculty and instructors Graduate students Undergraduate students UVic staff
- Categories:
- DSC