<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Iteration on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/iteration/</link><description>Recent content in Iteration on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Fri, 31 Oct 2025 11:40:28 +0000</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/iteration/index.xml" rel="self" type="application/rss+xml"/><item><title>Loops</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/03-module/002-loops/</link><pubDate>Thu, 24 Jul 2025 11:21:41 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/03-module/002-loops/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores Python loops, focusing on for and while loops, the range and enumerate functions, and practical techniques for iterating and manipulating data in lists and tuples. Readers will learn loop syntax, control flow, and common patterns for data processing.
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&lt;h2 id="introduction-to-loops"&gt;Introduction to Loops&lt;/h2&gt;
&lt;p&gt;Loops in Python allow repeated execution of code blocks, making it possible to process sequences of data efficiently. The two main types are for loops and while loops, each suited for different scenarios.&lt;/p&gt;</description></item></channel></rss>