Data Processing in Pandas and Polars: Free Jumping Rivers Webinar
Python offers a wide range of tools for data manipulation, but choosing the right one often depends on performance needs, workflow preferences, and dataset size.
On 19 March, Jumping Rivers is hosting a webinar focused on a practical question: how does data processing compare between pandas and polars?
The session will be led by Russ Hyde, Senior Data Scientist at Jumping Rivers, who regularly works with Python based data workflows across analysis, training, and production environments.
What You’ll Learn
This session will implement the same data processing pipeline in both pandas and polars to highlight how each library approaches common tasks. Russ will walk through:
- Key syntax differences between pandas and polars
- How each library handles core data manipulation steps
- Performance and usability considerations
- New functionality introduced in pandas 3.0
The goal is to give Python users a clearer understanding of when each tool makes sense and how recent updates affect day to day workflows.
Why This Matters
Pandas remains the standard library for in memory tabular data analysis, and familiarity with its syntax is essential for many data science roles. At the same time, polars is gaining attention due to its performance focused design and efficient execution model.
Understanding the strengths and trade offs of both libraries helps teams:
- Improve data processing performance
- Choose tools aligned with project requirements
- Write clearer and more maintainable code
- Stay current with developments in the Python ecosystem
As expectations around performance and scalability increase, informed tooling decisions become more important.
Continued Learning Benefits
Jumping Rivers encourages teams to stay engaged with the wider webinar series:
- Attend two webinars and receive 20% off tickets to the AI in Production 2026 conference
- Attend more than two webinars and receive 20% off any Jumping Rivers public training course
Event Details
- Date: 19 March 2026
- Time: 1:15 PM (UK time)
- Venue: Online
Register for the webinar using this form to secure your spot.
