Anatomy of a list comprehension.
Understand this and you'll never need to look up list comprehensions again.
Understand this and you'll never need to look up list comprehensions again.
![Diagram showing the anatomy of a list comprehension: 1. data transformation; 2. data source; 3. optional data filter.
Code for general list comprehension:
my_list = [
data_transformation(value)
for value in data_source
if predicate(value)
]
A concrete example:
my_list = [
n ** 2
for n in range(1000)
if (n % 3 == 0) or (n % 5 == 0)
]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:4642ovs4svxe3k3echdm4rks/bafkreiheujmfb23d7einycmxeyoq3dbshug4kwbyyemxk4obb365nj2vhm)
December 4, 2025 at 12:14 PM
Anatomy of a list comprehension.
Understand this and you'll never need to look up list comprehensions again.
Understand this and you'll never need to look up list comprehensions again.
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