Python Comprehensions: Difference between revisions
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====Simple List Comprehension==== | ====Simple List Comprehension==== | ||
<syntaxhighlight lang='py'> | <syntaxhighlight lang='py'> | ||
[<expression> for <var> in <iterable> | [<expression> for <var> in <iterable>] | ||
</syntaxhighlight> | </syntaxhighlight> | ||
====Conditional List Comprehension==== | ====Conditional List Comprehension==== | ||
<syntaxhighlight lang='py'> | <syntaxhighlight lang='py'> | ||
[<expression> for <var> in <iterable> if <condition>] | [<expression> for <var> in <iterable> if <condition>] | ||
</syntaxhighlight> | </syntaxhighlight> | ||
Revision as of 01:35, 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>]