<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Export on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/data-export/</link><description>Recent content in Data-Export 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/data-export/index.xml" rel="self" type="application/rss+xml"/><item><title>Data With Pandas</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/004-data-with-pandas/</link><pubDate>Thu, 24 Jul 2025 13:11:46 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/004-data-with-pandas/</guid><description>&lt;p class="lead text-primary"&gt;
This document covers techniques for analyzing and filtering data in Pandas, including finding unique values in columns, filtering rows based on conditions, and saving results to CSV and other formats. Readers will learn practical steps for working with large datasets efficiently.
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&lt;h2 id="working-with-dataframes-in-pandas"&gt;Working With DataFrames in Pandas&lt;/h2&gt;
&lt;p&gt;Pandas enables efficient data analysis and manipulation using DataFrames. Once a DataFrame is created, various methods can be applied to explore and process the data.&lt;/p&gt;</description></item></channel></rss>