Summary  
This chapter introduces PySpark as the Python API for Apache Spark, demonstrating how to use Python interfaces for Spark’s core components—RDDs, DataFrames, Spark SQL, and MLlib—for distributed data processing.

General domain of usage  
Big data analytics

It provides Python APIs for Spark’s core functionalities, including Spark SQL, DataFrames, RDDs (Resilient Distributed Datasets), and MLlib (machine learning library).

It also allows integration with other Python libraries and tools, making it easier to build data pipelines, perform analysis, and apply machine learning models.

This course will help those who want to get some of Big Data basics, including different types of distributed computings and such programming paradigm as MapReduce. Also, main part of the course will be devoted to such framework as Apache Spark and it's high-level API PySpark using Python programming language.

Introduction to PySpark

What is PySpark?