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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

Section 4: Using Python for Web, Cloud, and Network Use Cases

We will not finish our journey until we apply what we have learned so far to build modern solutions, especially for the cloud. This is a core part of our journey, where we challenge our learning progress by solving real-world problems. First, we look into how to build web applications and REST APIs using Python frameworks such as Flask. Next, we deep dive into implementing serverless applications for the cloud using the microservices architecture and serverless functions. We cover both local and cloud deployment options for our code exercises and case studies. Later, we explore how to use Python to build machine learning models and deploy them in the cloud. We conclude our journey by investigating the role of Python for network automation with real-world network management-related use cases.

This section contains the following chapters:

  • Chapter 10, Using Python for Web Development and REST API
  • Chapter 11,...
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