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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

Chapter 3: Advanced Object-Oriented Python Programming

Python can be used as a declarative modular programming language such as C, as well as being used for imperative programming or full object-oriented programming (OOP) with programming languages such as Java. Declarative programming is a paradigm in which we focus on what we want to implement, while imperative programming is where we describe the exact steps of how to implement what we want. Python is suitable for both types of programming paradigms. OOP is a form of imperative programming in which we bundle the properties and behaviors of real-world objects into programs. Moreover, OOP also addresses the relations between different types of real-world objects.

In this chapter, we will explore how the advanced concepts of OOP can be implemented using Python. We are assuming that you are familiar with general concepts such as classes, objects, and instances and have basic knowledge of inheritance between objects.

We will cover...

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