<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automation on Ben Rodríguez</title><link>https://brodriguezv.com/categories/automation/</link><description>Recent content in Automation on Ben Rodríguez</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Wed, 03 Jan 2024 19:24:27 -0600</lastBuildDate><atom:link href="https://brodriguezv.com/categories/automation/index.xml" rel="self" type="application/rss+xml"/><item><title>How I Automated Daily Excel Reports Using Python and SQL</title><link>https://brodriguezv.com/posts/automate-daily-excel-reports-python-sql/</link><pubDate>Wed, 03 Jan 2024 19:24:27 -0600</pubDate><guid>https://brodriguezv.com/posts/automate-daily-excel-reports-python-sql/</guid><description>&lt;p>Excel is a powerful tool for creating daily reports, charts, and data analysis workflows. However, when reports rely on large datasets stored in a SQL database, manual extraction quickly becomes inefficient and error-prone.&lt;/p></description></item></channel></rss>