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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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Toc

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

Answers

  1. AWS Beanstalk is a general-purpose PaaS offering for deploying web applications, whereas AWS App Runner is a fully managed service for deploying container-based web applications.
  2. GCP Cloud Function is a serverless, event-driven service for executing a program. The specified event can be triggered from another GCP service or through an HTTP request.
  3. Cloud Dataflow and Cloud Dataproc are two popular services for data processing offered by GCP.
  4. An Apache Beam pipeline is a set of actions that have been defined to load the data, transform the data from one form into another, and write the data to a destination.
  5. PCollection is like an RDD in Apache Spark that holds data elements. In pipeline data processing, a typical PTransform operation takes one or more PCollection objects as input and produces the results as one or more PCollection objects.
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