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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

Introducing duck typing in Python

Duck typing, sometimes referred to as dynamic typing, is mostly adopted in programming languages that support dynamic typing, such as Python and JavaScript. The name duck typing is borrowed based on the following quote:

"If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck."

This means that if a bird is behaving like a duck, it will likely be a duck. The point of mentioning this quote is that it is possible to identify an object by its behavior, which is the core principle of duck typing in Python.  

In duck typing, the type of class of an object is less important than the method (behavior) it defines. Using duck typing, the types of the object are not checked, but the method that is expected is executed.

To illustrate this concept, we take a simple example with three classes, Car, Cycle, and Horse, and we try to implement a start method in each of them. In the Horse class, instead...

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