<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Querying Databases from Python on DATATWEETS</title><link>/courses/sql/querying-databases-from-python/</link><description>Recent content in Querying Databases from Python on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Datatweets</copyright><lastBuildDate>Tue, 23 Jun 2026 09:00:00 +0200</lastBuildDate><atom:link href="/courses/sql/querying-databases-from-python/index.xml" rel="self" type="application/rss+xml"/><item><title>Lesson 1 - Running SQL Queries with sqlite3</title><link>/courses/sql/querying-databases-from-python/lesson-1-running-sql-queries-with-sqlite3/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/querying-databases-from-python/lesson-1-running-sql-queries-with-sqlite3/</guid><description>Use Python&amp;rsquo;s built-in sqlite3 library to connect to a database, run SQL queries with a cursor, fetch results as tuples, and close the connection cleanly.</description></item><item><title>Lesson 2 - From SQL Results to pandas DataFrames</title><link>/courses/sql/querying-databases-from-python/lesson-2-from-sql-results-to-pandas-dataframes/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/querying-databases-from-python/lesson-2-from-sql-results-to-pandas-dataframes/</guid><description>Move beyond lists of tuples — use pandas to run SQL queries against a SQLite database and pull the results straight into a DataFrame you can filter, group, and plot.</description></item></channel></rss>