How do I return dictionary keys as a list in Python?
If you need dictionary keys returned as a list, you can employ list(my_dict)
or apply my_dict.keys()
within a list comprehension. Here's the nitty-gritty:
Both expressions return the key list in blazing speed.
The Mechanics behind the Scenes
Keys Liberation with Unpacking
Python 3.5+ astounds with a sudoku level shortcut for unpacking collections:
The Tale of dict_keys
Despite dict_keys
received from my_dict.keys()
masquerading as a list, they aren't. They pull off a high-wire act as view objects, providing a live view on the dictionary keys playing field.
Efficiency Realm and The Iteration Marvel
Straight looping over my_dict
or entrusting dict_keys
with loop duty is RAM-neat, as it abstains from birthing a list:
Deep Dive into Key Extraction
Battle of Ages: Python 2 vs Python 3
Create an alert for version variances: In Python 2 keys()
operation emits a list, but in Python 3 it emits a dict_keys
beacon.
Key Order Chronicles
Bows to Python 3.7+; dictionaries steward insertion order. Version holdouts, take note! Key order when converging to a list is not insured.
The Performance Saga
Got a sizable collection to parse? Iterating over dict_keys
could have performance perks compared to first transforming to a list.
Pythonic Paradigms
Python idioms askew? Bracket arms with zip()
for iterating over a pair of dictionaries simultaneously, dodging separate list creation.
The Iterable Illusion & Duck Typing
Mirror mirror on the wall, does dict_keys
behave like a sequence after all? Absolutely! A taste of the duck typing in Python; quacks like a list, iterate over it!
Beware of the 'list' Impostor
Alas! While dict_keys
is iterable, it neither supports item assignments nor the append
method, shying away from its list alter ego.
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