This tutorial compares Polars and pandas, covering syntax, performance, LazyFrames, conversions, and plotting to help you choose the right library for your data analysis needs.
Explores the performance benefits of running Python without the Global Interpreter Lock (GIL), using the new experimental Python 3.13.0b4 pre-release with the --disable-gil flag. Discusses how this change can lead to faster execution times for CPU-intensive tasks in data science and machine learning.
