Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Cheat sheet of Python string methods:
* lower() - converts to lowercase
* upper() - converts to uppercase
* capitalize() - capitalizes the first letter
* title() - capitalizes each word
* strip() - removes whitespace from the beginning and end
* startswith() / endswith() - checks the beginning and end of a string
* replace() - replaces a substring
* split() - splits a string into a list
* join() - joins elements into a string
* find() / index() - searches for the position of a substring
* count() - counts occurrences
* isnumeric() - checks if the string contains only numbers

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Why identical arguments can create different entries in `lru_cache`? πŸ€”

The lru_cache creates a key not only from the values of the arguments, but also from the way they are passed.

load(True)
load(debug=True)


Although both calls pass the same value, for the cache, these are different keys, so the function will be executed twice.

print(load.cache_info())
# CacheInfo(hits=0, misses=2, ...)


The order of named arguments can also affect how an entry is created in the cache.

func(a=1, b=2)
func(b=2, a=1)


Therefore, it is best to call cached functions in a consistent style: either by position or by name, in the same order.

load(debug=True)
load(debug=True)


πŸ”₯ A consistent call format prevents unnecessary cache misses and redundant execution of expensive operations.

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