07-04, 12:00–12:20 (Africa/Cairo), Hall 2 (Ground Floor)
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.
Hebrew
Target audience –Data Scientists
Enthusiastic Software Engineer👷 Who appreciates good software engineering 🙏
I have with a big passion for Python 🐍, Machine Learning 🤖, Databases 🛢️, Scale and Performance Optimisations🦸 and making all of these easy to use.