PySpark is a tool or interface of Apache Spark developed by the Apache Spark community and Python to support Python to work with Spark. This tool collaborates with Apache Spark using APIs written in Python to support features like Spark SQL, Spark DataFrame, Spark Streaming, Spark Core, Spark MLlib, etc.
It provides an interactive PySpark shell to analyze structured and semi-structured data in a distributed environment and process them by providing optimized APIs that help the program to read data from various data sources. PySpark features are implemented in the py4j library in Python. Due to the availability of the Py4j library, it facilitates users to work with RDDs (Resilient Distributed Datasets) in the Python programming language. Python supports many libraries that support big data processing and machine learning.
You can install PySpark using PyPi by using the following command:
