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Python for Geeks

Python for Geeks

By : Asif
4.5 (20)
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Python for Geeks

Python for Geeks

4.5 (20)
By: Asif

Overview of this book

Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks. You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book. By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects.
Table of Contents (20 chapters)
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1
Section 1: Python, beyond the Basics
5
Section 2: Advanced Programming Concepts
9
Section 3: Scaling beyond a Single Thread
13
Section 4: Using Python for Web, Cloud, and Network Use Cases

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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