Comprehensions are a Python language construct for concisely creating data in lists, dictionaries and sets. List comprehensions are included in Python 2 while dictionary and set comprehensions were introduced to the language in Python 3.
Comprehensions are a more clear syntax for populating conditional data in the core Python data structures. Creating data without comprehensions often involves nested loops with conditionals that can be difficult for code readers to properly evaluate.
List comprehension:
>>> double_digit_evens = [e*2 for e in range(5, 50)]
>>> double_digit_evens
[10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98]
Set comprehension:
>>> double_digit_odds = {e*2+1 for e in range(5, 50)}
{11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99}
Dictionary comprehension:
>>> {e: e*10 for e in range(1, 11)}
{1: 10, 2: 20, 3: 30, 4: 40, 5: 50, 6: 60, 7: 70, 8: 80, 9: 90, 10: 100}
Intermediate Python's Python Comprehensions post gives a well written overview of comprehensions for the three core Python data structures.
Python List Comprehensions: Explained Visually explains how the common idiom for iteration became syntactic sugar in the language itself and how you can use it in your own programs.
The Python 3 Patterns and Idioms site has an overview of comprehensions including code examples and diagrams to explain how they work.
Comprehensions in Python the Jedi way shows off comprehensions with a Star Wars theme to walk through the nuts and bolts. All examples use Python 3.5.
Idiomatic Python: Comprehensions explains how Python's comprehensions were inspired by Haskell's list comprehensions. It also provides clear examples that show how comprehensions are shorthand for common iteration code, such as copying one list into another while performing some operation on the contained elements.
Learning Python by example: list comprehensions gives an example of an incorrect list comprehension then shows how to correct its issues.
List comprehensions in Python covers what the code for list comprehensions looks like and gives some example code to show how they work.
An Introduction to Python Lists is a solid overview of Python lists in general and tangentially covers list comprehensions.
Searching for a complete, step-by-step deployment walkthrough? Learn more about The Full Stack Python Guide to Deployments book.