Super Intermediate Python 3
summary
Claims that category theory explains why Python can transform structured collections while preserving order, demonstrates practical use of itertools and built-ins like map/filter/reduce, zip, chain, groupby, cycle and compress, and shows grouping records from multiple databases into id-based aggregates. Notes reduce lives in functools now, compares list comprehensions (faster) to map/generator use, warns that functional code is provably correct but can be terse and harder to maintain.
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chapters (20)
- 0:00Start
- 0:53Categories
- 1:41Category Theory
- 2:25Morphisms
- 2:50Composition
- 4:55Identity
- 5:38Associative Law
- 6:04Base Mappings
- 9:27Functional Programming in Python
- 9:54List Comprehension
- 11:26Loops
- 11:54Dictionary Comprehension in Action
- 12:20Functions
- 12:33Lambdas
- 13:29Filter
- 15:27Map Function
- 21:00Enumerate
- 25:15Compress
- 35:28Why Use Functional Programming in Python
- 36:31Downsides
