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

Introduction to modules and packages

Modules in Python are Python files with a .py extension. In reality, they are a way to organize functions, classes, and variables using one or more Python files such that they are easy to manage, reuse across the different modules, and extend as the programs become complex.

A Python package is the next level of modular programming. A package is like a folder for organizing multiple modules or sub-packages, which is fundamental for sharing the modules for reusability.

Python source files that use only the standard libraries are easy to share and easy to distribute using email, GitHub, and shared drives, with the only caveat being that there should be Python version compatibility. But this sharing approach will not scale for projects that have a decent number of files and have dependencies on third-party libraries and may be developed for a specific version of Python. To rescue the situation, building and sharing packages is a must for efficient...