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Python for Geeks

You're reading from   Python for Geeks Build production-ready applications using advanced Python concepts and industry best practices

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Python, beyond the Basics
2. Chapter 1: Optimal Python Development Life Cycle FREE CHAPTER 3. Chapter 2: Using Modularization to Handle Complex Projects 4. Chapter 3: Advanced Object-Oriented Python Programming 5. Section 2: Advanced Programming Concepts
6. Chapter 4: Python Libraries for Advanced Programming 7. Chapter 5: Testing and Automation with Python 8. Chapter 6: Advanced Tips and Tricks in Python 9. Section 3: Scaling beyond a Single Thread
10. Chapter 7: Multiprocessing, Multithreading, and Asynchronous Programming 11. Chapter 8: Scaling out Python Using Clusters 12. Chapter 9: Python Programming for the Cloud 13. Section 4: Using Python for Web, Cloud, and Network Use Cases
14. Chapter 10: Using Python for Web Development and REST API 15. Chapter 11: Using Python for Microservices Development 16. Chapter 12: Building Serverless Functions using Python 17. Chapter 13: Python and Machine Learning 18. Chapter 14: Using Python for Network Automation 19. Other Books You May Enjoy

Case studies of using Apache Spark and PySpark

In previous sections, we covered the fundamental concepts and architecture of Apache Spark and PySpark. In this section, we will discuss two case studies for implementing two interesting and popular applications for Apache Spark.

Case study 1 – Pi (π) calculator on Apache Spark

We will calculate Pi (π) using the Apache Spark cluster that is running on our local machine. Pi is the area of a circle when its radius is 1. Before discussing the algorithm and the driver program for this application, it is important to introduce the Apache Spark setup used for this case study.

Setting up the Apache Spark cluster

In all previous code examples, we used PySpark locally installed on our machine without a cluster. For this case study, we will set up an Apache Spark cluster by using multiple virtual machines. There are many virtualization software tools available, such as VirtualBox, and any of these software tools will...

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