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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

Summary

In this chapter, we learned the concept of classes and objects in Python and we also discussed how to build classes and use them to create objects and instances. Later, we deep-dived into the four pillars of OOP: encapsulation, inheritance, polymorphism, and abstraction. We also worked through simple and clear code examples to make it easier for readers to grasp the concepts of OOP. These four pillars are fundamental to using OOP in Python.

In the later sections, we also covered duck typing, which is important for clarifying its non-dependency on classes, before ending the chapter by reviewing when it is not significantly beneficial to use OOP.

By going through this chapter, you not only refreshed your knowledge of the main concepts of OOP but also learned how to apply the concepts using Python syntax. We will review a few Python libraries for advanced programming in the next chapter.

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