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

Section 4: Using Python for Web, Cloud, and Network Use Cases

We will not finish our journey until we apply what we have learned so far to build modern solutions, especially for the cloud. This is a core part of our journey, where we challenge our learning progress by solving real-world problems. First, we look into how to build web applications and REST APIs using Python frameworks such as Flask. Next, we deep dive into implementing serverless applications for the cloud using the microservices architecture and serverless functions. We cover both local and cloud deployment options for our code exercises and case studies. Later, we explore how to use Python to build machine learning models and deploy them in the cloud. We conclude our journey by investigating the role of Python for network automation with real-world network management-related use cases.

This section contains the following chapters: