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!

But hey at least python forces you to use whitespace properly hinthinthint