Introduction to Python: Data Transformation of Tabular Data with Pandas Online
This is the third part of a four part Introduction to Python series. Python is a high-level, general-purpose programming language designed to be easy to read and write. In the workshop you will learn,
- Data Loading & Navigation: Importing spreadsheet files (like CSVs), viewing and exploring datasets, and using precise coordinates to pinpoint specific rows or columns.
- Creating Reusable Automations: Writing custom steps to bundle together repetitive data cleaning and organizing tasks, saving time and preventing human error.
- Data Structuring & Cleaning: Transforming cluttered, wide-format tables into clean, standardized layouts using tools that merge rows, group related information together, and correctly format dates.
No previous knowledge of Python is required to take this workshop series, but each workshop in this four part series will build off the one before it.
If you can’t make a workshop in this series, you can catch up by going through the Library Carpentry lesson, Python Intro for Libraries, that we will be working from and can be found here.
- Date:
- Tuesday, November 10, 2026
- Time:
- 3:00pm - 4:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Online via Zoom/WebEx/Panopto
- Campus:
- North Campus
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Faculty/Staff Graduate Other Undergraduate
- Categories:
- Data & Digital
Workshop Setup
This is a Carpentries workshop, and you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about and the window for the Zoom video conference client open.
More information about set up and installing Python for the workshop can be found at the bottom of the workshop webpage.
If you need help with any of the setup for this workshop, please contact dataservices@buffalo.edu
Head Research Data Services
sp277@buffalo.edu