Python PySpark

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Published Sep 29, 2022Updated May 29, 2025
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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.

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Features

Some of the primary features of PySpark include:

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

Installation

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

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Learn Python on Codecademy

  • See how big data is used across different industries and learn how to work with big data using PySpark!
    • Beginner Friendly.
      4 hours
  • Learn the basics of Python 3.12, one of the most powerful, versatile, and in-demand programming languages today.
    • With Certificate
    • Beginner Friendly.
      24 hours