Functional Programming for Pythonistas
summary
Claims that adopting functional patterns makes Python code clearer, more testable and easier to reason about, with concrete techniques: use immutability instead of mutating shared lists (an anecdote shows a Gradle filter that deleted all dependencies), separate side effects from pure logic so tests become simple inputs→outputs, implement higher-order patterns with map/filter/reduce and a simple flatmap to avoid nested lists, use referential transparency where possible, and avoid deep recursion in Python by preferring comprehensions, reduce and trampolines when necessary.
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chapters (7)
- 0:00Introduction
- 8:57Side Effects
- 11:54Referential Transparency
- 13:29FlatMap
- 16:22Recursion
- 18:04Common Pitfalls
- 19:37Resources
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