It is a Spark-compatible DataFrame API that runs in the browser, built for practicing the syntax and patterns interviews ask about. For tuning a real cluster, the PySpark learning track covers partitions, shuffles, and skew.

Are Pandas questions included?

Yes. Pandas problems sit in the same set, since many data engineering screens accept either.

PySpark interview questions

Interview-style PySpark and Pandas problems on the same seeded warehouse used across Lakebench. Filter, aggregate, join, and window DataFrames without standing up a cluster.

65 PySpark + Pandas problems, 18 of them free. They run in your browser against the same warehouse tables used in Learn. All problems · PySpark + Pandas filter · Theory questions · Learn tracks

What PySpark rounds test

Writing DataFrame code that is correct and would scale: choosing the right join, using window functions for latest-record and running-total problems, avoiding collect() on large data, and explaining where a shuffle happens.

Runs in your browser

Your code runs in the tab through Pyodide with a Spark-compatible DataFrame layer, so you can practice the API and the patterns without Java, a local Spark install, or a cloud notebook.

Common questions

Is this real Spark?: It is a Spark-compatible DataFrame API that runs in the browser, built for practicing the syntax and patterns interviews ask about. For tuning a real cluster, the PySpark learning track covers partitions, shuffles, and skew.
Are Pandas questions included?: Yes. Pandas problems sit in the same set, since many data engineering screens accept either.