Spark with Python (PySpark) Tutorial For Beginners

In this PySpark Tutorial (Spark with Python) with examples, you will learn what is PySpark? it’s features, advantages, modules, packages, and how to use RDD & DataFrame with sample examples in Python code. All Spark examples provided in this PySpark (Spark with Python) tutorial are basic, simple, and easy to practice for beginners who are enthusiastic to learn PySpark and advance their careers in BigData and Machine Learning. Features The following are the main features of PySpark. In-memory computation Distributed processing using parallelize Can be used with many cluster managers (Spark, Yarn, Mesos e.t.c) Fault-tolerant Immutable Lazy evaluation Cache & persistence Inbuild-optimization when using DataFrames Supports ANSI SQL