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Library - Pyshark

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Lesson Description


Lession - #1487 PySpark-Home


Apache Spark is written in Scala programming language. To help Python with Spark, Apache Spark people group released a tool, PySpark. Utilizing PySpark, you can work with RDDs in Python programming language too. It is a direct result of a library called Py4j that they can accomplish this. This is an initial instructional exercise, which covers the essentials of Data-Driven Documents and clarifies how for manage its different parts and sub-parts.

Audience

This tutorial exercise is ready for those experts who are seeking to make a career in programming language and ongoing handling system. This instructional exercise is expected to make the readers agreeable in getting everything rolling with PySpark alongside its different modules and submodules.

Prerequisites

Prior to continuing with the different ideas given in this tutorial , it is being expected that the readers are now aware about what a programming language and a framework is. What's more, it will be extremely useful, in the event that the readers have a sound information on Apache Spark, Apache Hadoop, Scala Programming Language, Hadoop Distributed File System (HDFS>
and Python.