<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>List Comprehension on tinega</title><link>https://tin3ga.netlify.app/tags/list-comprehension/</link><description>Recent content in List Comprehension on tinega</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Fri, 08 Sep 2023 12:02:19 +0300</lastBuildDate><atom:link href="https://tin3ga.netlify.app/tags/list-comprehension/index.xml" rel="self" type="application/rss+xml"/><item><title>List &amp; Dictionary Comprehension in Python</title><link>https://tin3ga.netlify.app/posts/list--dictionary-comprehension-in-python/</link><pubDate>Fri, 08 Sep 2023 12:02:19 +0300</pubDate><guid>https://tin3ga.netlify.app/posts/list--dictionary-comprehension-in-python/</guid><description>List Comprehension Python lists are a fundamental data structure for storing and managing data collections. Lists are adaptable, flexible, and may store a variety of data kinds, including integers, strings, and even other lists. List comprehension lets you make a new list by applying an expression to each item in an existing iterable (such as a list, tuple, or range) and optionally filtering the items depending on a condition. List comprehensions are a more compact and readable means of creating lists than typical for loops.</description></item></channel></rss>