Session language – English Target audience – Data Scientists, Other (please specify below) Other (target audience) – Software Engineer / Data Engineer / BI / Analyst

This talk will review some of the most common pitfalls that can cause otherwise perfectly good Pandas code to grind to be too slow for any time-sensitive applications, and walk through a set of tips and tricks to avoid them.

Writing performant pandas code is not an easy task, in this talk, I will explain how to find the bottlenecks and how to write proper code with computational efficiency, and memory optimization in mind.