Comprehending comprehensions
summary
Claims that comprehensions are both essential and often misunderstood get demonstrated with concrete code: live Jupyter notebooks pushed to GitHub show list, set and dict comprehensions, nested comprehensions and generator expressions. Examples parse /etc/passwd into usernames and shells, build a list of dicts from a shoe file, and count IPs with collections.Counter; each snippet produces the promised output. The walrus operator saves repeated splits, generator expressions avoid huge in-memory lists, and the difference versus for loops (side effects vs returned collection) is made explicit.
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chapters (19)
- 0:00Python comprehensions intro
- 4:16What are comprehensions
- 10:14List vs for loops
- 21:01List comp examples
- 22:26Sum numbers from input
- 26:46Count word lengths
- 29:56List comp structure
- 37:10Conditions in comprehensions
- 42:10Sum numbers from file
- 51:09Read files with comprehensions
- 1:03:12Break & Q&A
- 1:10:38Set comprehensions
- 1:20:22Dictionary comprehensions
- 1:31:21Dict from file exercise
- 1:39:02Nested list comprehensions
- 1:51:10Popular movie genres
- 1:55:09Generator expressions
- 2:07:30Comprehensions scoping
- 2:15:22Closing remarks
