Pyspark Compare VMWare, WSL2 and Native Windows

Pyspark is a python API for Apache Spark. Spark is an execution framework that handles distributed workloads. Written in Scala, it uses in-memory caching and optimized execution, and support batch processing. Spark in turn uses Hadoop. Hadoop is a Java open source storage and processing framework, which has a distributed file system (HDFS), YARN (yet another resource negotiator), map reduce (parallel computing) and a common set of java libraries.

Jupyter notebooks are great for developing and running Python scripts. You can control the notebook…