PySpark Tutorial
Description
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.
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.
Before proceeding with the various concepts given in this tutorial, it is being assumed that the readers are already aware about what a programming language and a framework is. In addition to this, it will be very helpful, if the readers have a sound knowledge of Apache Spark, Apache Hadoop, Scala Programming Language, Hadoop Distributed File System (HDFS) and Python.
What you'll learn
Become a UX designer.
You will be able to add UX designer to your CV
Become a UI designer.
Build & test a full website design.
Create your first UX brief & persona.
How to use premade UI kits.
Create quick wireframes.
Downloadable exercise files
Build a UX project from beginning to end.
Learn to design websites & mobile phone apps.
All the techniques used by UX professionals
You will be able to talk correctly with other UX design.
Requirements
- You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
- No previous design experience is needed.
- No previous Adobe XD skills are needed.
Course Content
Instructor
W3edify Infotech
President of Sales
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