How to Execute SQL Queries in Python: The Guide to Querying, Filtering, and Sorting Data Efficiently

Learn how to execute SQL queries with Python, master SELECT, WHERE, ORDER BY, and LIMIT clauses, and efficiently query data with practical examples and code explanations.

Last week, we kicked off our Python and SQL series with a look at databases and SQL. We talked about what databases are, how SQL fits into the picture, and we even covered a few basic SQL commands. This week, we're taking things a step further and getting into the real action—writing SQL queries and running them using Python.

My focus today is to help you get familiar with key SQL queries like SELECT, WHERE, ORDER BY, and LIMIT. I'll also walk through how to execute these queries from your Python environment. By the end of this article, you'll be able to pull data straight from an SQL database with just a few lines of code in Python.

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In this article my goal is to get you familiar with and using SQL queries on your own! Learning and then practicing what you’ve learned. I’m a huge believer in that. This article builds on my last article which was an Introduction to SQL and Databases.

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This is the second article in our SQL in Python series. Check out the new roadmap for SQL in Python and join premium to access mini challenges, learning resources, and more to help you really build a strong foundation!

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In case you want to refer back to the data analytics we covered you can here. Now, let’s jump in and break down what SQL queries are, why they matter, and how you can start using them today!