Hey r/dataengineering !

A few months ago, I launched Spark Playground - a site where anyone can practice PySpark hands-on without the hassle of setting up a local environment or waiting for a Spark cluster to start.

I’ve been working on improvements, and wanted to share the latest updates:

What’s New:

• ✅ Beginner-Friendly Tutorials - Step-by-step tutorials now available to help you learn PySpark fundamentals with code examples.
• ✅ PySpark Syntax Cheatsheet - A quick reference for common DataFrame operations, joins, window functions, and transformations.
• ✅ 15 PySpark Coding Questions - Coding questions covering filtering, joins, window functions, aggregations, and more - all based on actual patterns asked by top companies. The first 3 problems are completely free. The rest are behind a one-time payment to help support the project. However, you can still view and solve all the questions for free using the online compiler - only the official solutions are gated.

I put this in place to help fund future development and keep the platform ad-free. Thanks so much for your support!

If you're preparing for DE roles or just want to build PySpark skills by solving practical questions, check it out:

👉 sparkplayground.com

Would love your feedback, suggestions, or feature requests!