Simplifying Python Code through the Lens of Functional Programming

on YouTube ↗28m

" summary

Shows a concrete refactor: take a CSV of names/scores, compare a chatGPT baseline, an imperative split-into-three-functions refactor, and a functional pipeline built with currying, composition and a pipe helper. Uses Polars for comparison, then implements a pure-Python pipeline using a Box style Left/Right box (ponet) to carry success/failure, plus tests written with Hypothesis and a temporary file. Works on small files (10 rows) but exhibits quadratic slowdowns vs Polars’ linear performance at 1M rows. Emphasizes pure functions and composition.

AI-written summary · about

" chapters (8)

1. 0:00Introduction to FP in Python
2. 4:00Refactoring to functions
3. 7:31Single responsibility principle
4. 9:31Currying and composition
5. 12:27Pipe operators and error handling
6. 14:37Railway oriented programming
7. 17:43Functional vs imperative
8. 23:17Live demo and Q&A

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