Book Image

Python for Geeks

By : Muhammad Asif
Book Image

Python for Geeks

By: Muhammad 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)
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 2: Using Modularization to Handle Complex Projects

When you start programming in Python, it is very tempting to put all your program code in a single file. There is no problem in defining functions and classes in the same file where your main program is. This option is attractive to beginners because of the ease of execution of the program and to avoid managing code in multiple files. But a single-file program approach is not scalable for medium- to large-size projects. It becomes challenging to keep track of all the various functions and classes that you define.

To overcome the situation, modular programming is the way to go for medium to large projects. Modularity is a key tool to reduce the complexity of a project. Modularization also facilitates efficient programming, easy debugging and management, collaboration, and reusability. In this chapter, we will discuss how to build and consume modules and packages in Python.

We will cover the following topics in this chapter...