Is your Python code held together with duct tape and prayers? Sam and Shifra untangle the spaghetti and walk you through what it actually means to write clean, maintainable data code, and which tools will get you there. From the humble origins of Pandas to the blazing speed of Polars and the SQL simplicity of DuckDB, this episode is your guide to leveling up without burning down your codebase.

🌊 Check out the deep dive here: https://youtu.be/htGazioOVvM

We talk about:

- What spaghetti code actually is (and why we've all written it)

- The real limitations of Pandas at scale (single threading, row storage, and bloated data types)

- One-line bolt-on fixes with PyArrow and NVIDIA RAPIDS cuDF

- Why Polars feels like the dplyr  ...