Python’s “there should be one obvious way to do it” slogan often collides with reality these days too, since the language sprawled into multiple idioms just lik

Python’s “there should be one obvious way to do it” slogan often collides with reality these days too, since the language sprawled into multiple idioms just like C++: for printing you can use print("hi"), f-strings like f"hi {x}", .format(), % formatting, or concatenation with +; for loops you can iterate with for i in range(n), list comprehensions [f(i) for i in seq], generator expressions (f(i) for i in seq), or map/filter/lambda; unpacking can be done with a,b=pair, tuple() casting, slicing, *args capture, or dictionary unpacking with *; conditionals can be written with if/else blocks, one-line ternary x if cond else y, and/or short-circuit hacks, or pattern matching match/case; default values can come from dict.get(k,default), x or default, try/except, or setdefault; swapping variables can be done with a,b=b,a, with a temp var, with tuple packing/unpacking, or with simultaneous assignment; joining strings can be done with "".join(list), concatenation in a loop, reduce(operator.add, seq), or f-strings; reading files can be open().read(), iterating line by line with for line in f, using pathlib.Path.read_text(), or with open(...) as f; building lists can be done with append in a loop, comprehensions, list(map(...)), or unpacking with [*a,*b]; dictionaries can be merged with {*a,*b}, a|b (Python 3.9+), dict(a,*b), update(), or comprehensions; equality and membership checks can be ==, is, in, any(...), all(...), or chained comparisons; function arguments can be passed positionally, by name, unpacked with * and \*, or using functools.partial; iteration with indexes can be for i in range(len(seq)), for i,x in enumerate(seq), zip(range(n),seq), or itertools; multiple return values can be tuples, lists, dicts, namedtuples, dataclasses, or objects; even truthiness tests can be if x:, if bool(x):, if len(x):, or if x != []:. Whew!