Functional Programming in an Imperative World. Maybe

on YouTube ↗43m

" summary

Claims that Python already has the FP tools and then shows them: higher-order functions implemented as decorators and returned callables, immutable data illustrated with tuples and linked to persistent-data-structure work, and map filter reduce performance demonstrated on large sequences (fast, iterator-based, and memory-friendly). Recursion examples expose Python’s lack of tail-call optimization and a practical recursion limit ~1000, and examples run in a Jupyter Notebook on GitHub so code is available to clone and verify.

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" chapters (28)

1. 0:00Introduction
2. 1:46Functional Programming
3. 1:59Why Functional Programming
4. 2:46Concurrent Parallel Programming
5. 3:20What is Functional Programming
6. 4:32Functional Programming Tools
7. 5:04HigherOrder Functions
8. 8:44Return Functions
9. 10:08Calling Functions
10. 10:24Passing Back Functions
11. 11:03decorators
12. 12:00immutable data structures
13. 16:13tuples
14. 17:45recursion
15. 19:44recursive summation
16. 21:59recursion error
17. 24:21map filter and reduce
18. 24:45lambdas
19. 25:55filter
20. 28:16map
21. 28:39transform
22. 29:29themap
23. 30:35reduce
24. 31:57reduce example
25. 36:03list comprehensions
26. 36:25filtering functions
27. 36:52Should we bring functional programming into our code
28. 38:38Questions

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