Python Comprehensions: Difference between revisions
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=Overview= | =Overview= | ||
A comprehension is a compact way of creating a data structure from one or more iterators. | A comprehension is a compact way of creating a data structure from one or more iterators. They are essentially loops with a more compact syntax. | ||
===List Comprehensions=== | ===List Comprehensions=== | ||
A list comprehension produces a list from an [[Python_Language#Iterable_Types|iterable type]] by applying an expression to each of the elements, and optionally a condition. | |||
====Simple List Comprehension==== | |||
<syntaxhighlight lang='py'> | |||
[<expression> for <var> in <iterable> | |||
</syntaxhighlight> | |||
====Conditional List Comprehension==== | |||
<syntaxhighlight lang='py'> | |||
[<expression> for <var> in <iterable> if <condition>] | |||
</syntaxhighlight> | |||
Revision as of 01:34, 9 July 2022
Internal
TODO
- PROCESS IPy Comprehensions Page 84.
- PROCESS PyOOP "Comprehensions" + "List comprehensions" + "Set and dictionary comprehensions"
Overview
A comprehension is a compact way of creating a data structure from one or more iterators. They are essentially loops with a more compact syntax.
List Comprehensions
A list comprehension produces a list from an iterable type by applying an expression to each of the elements, and optionally a condition.
Simple List Comprehension
[<expression> for <var> in <iterable>
Conditional List Comprehension
[<expression> for <var> in <iterable> if <condition>]