How to Use PySpark for Data Processing and Machine Learning

PySpark is an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning. We just released a PySpark crash course on the freeCodeCamp.org Krish is a lead data scientist and he runs a popular YouTube channel. Apache Spark is written in the Scala programming language. To support Python with Spark, the Apache Spark community released a tool called PySpark. PySpark allows people to work with Resilient Distributed Datasets (RDDs) in Python through a library called Py4j. PiSpark is an interface for Apache Spark in Python is often used for large scale data processing and machine learning. Krish knack teaches this course. So we are going to start Apache Spark series. And specifically, if I talk about Spark, we will be focusing on how we can use spark with Python. So we are going to discuss about the library called pi Spark, we will try to understand everything why spark is actually required. And probably will also try to cover a lot of ...