Web Reference: Jul 18, 2025 · PySpark is the Python API for Apache Spark, designed for big data processing and analytics. It lets Python developers use Spark's powerful distributed computing to efficiently process large datasets across clusters. It is widely used in data analysis, machine learning and real-time processing. In this PySpark tutorial, you’ll learn the fundamentals of Spark, how to create distributed data processing pipelines, and leverage its versatile libraries to transform and analyze large datasets efficiently with examples. PySpark specific tutorials are available here: There are also basic programming guides covering multiple languages available in the Spark documentation, including these:
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