Anonymous contributor's avatar
Anonymous contributor
Anonymous contributor's avatar
Anonymous contributor
Published Sep 29, 2022Updated Apr 2, 2023
Contribute to Docs

PySpark is a Python API for Apache Spark (or Spark), consisting of several modules. Spark is an analytical engine for large-scale distributed data processing and machine learning. Spark applications can run operations with very large datasets on distributed clusters about 100 times faster than traditional Python applications. PySpark has seen wide usage in the data science and machine learning communities due to the extensive number of data science libraries available in Python, and its ability to efficiently process large datasets.


Some of the primary features of PySpark include:

  • Distributed processing.
  • Support of many cluster managers.
  • Support of ANSI SQL.
  • In-memory computation.


Installation requires Java 8 or later. Details on installation can be found on the Apache Spark website.

All contributors

Looking to contribute?

Learn Python on Codecademy