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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

Summary

In this chapter, we discussed a variety of topics that require the use of advanced Python modules and libraries. We started by refreshing our knowledge about data containers in Python. Next, we learned how to use and build iterators for iterable objects. We also covered generators, which are more efficient and easier to build and use than iterators. We discussed how to open and read from files and how to write to files, followed by the use of a context manager with files. In the next topic, we discussed how to handle errors and exceptions in Python, how to raise exceptions through programming, and how to define custom exceptions. Exception handling is fundamental to any decent Python application. In the last section, we covered how to configure the logging framework in Python using different options for handlers and formatters.

After going through this chapter, you now know how to build your own iterators and design generator functions to iterate on any iterable object,...

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