Аннотация
Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can work with RDDs in Python programming language also. It is because of a library called Py4j that they are able to achieve this.
This is an introductory tutorial, which covers the basics of Data-Driven Documents and explains how to deal with its various components and sub-components.
Audience This tutorial is prepared for those professionals who are aspiring to make a career in programming language and real-time processing framework. This tutorial is intended to make the readers comfortable in getting started with PySpark along with its various modules and submodules.




![This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading... Machine Learning with Python Cookbook [Practical Solutions from Preprocessing to Deep Learning]](https://www.rulit.me/data/programs/images/machine-learning-with-python-cookbook-practical-solutions-fr_554389.jpg)

Комментарии к книге "PySpark"