PySpark is the Python API for Apache Spark, giving data engineers and analysts the ability to process massive datasets using familiar Python syntax backed by distributed computing power. Whether you’re building ETL pipelines, transforming data in a Databricks Medallion architecture, or exploring a Delta Lake table, knowing the core PySpark syntax by heart saves hours of tab-switching to documentation.
This cheat sheet covers the most practical patterns you’ll reach for every day.