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 3: Scaling beyond a Single Thread

In this part of the book, our journey will take a turn toward programming for scalable applications. A typical Python interpreter runs on a single thread running on a single process. For this part of our journey, we discuss how to scale out Python beyond this single thread running on a single process. To do that, we first look into multithreading, multiprocessing, and asynchronous programming on a single machine. Then, we explore how we can go beyond the single machine and run our applications on clusters using Apache Spark. After that, we investigate using cloud computing environments to focus on the application and leave the infrastructure management to cloud providers.

This section contains the following chapters:

  • Chapter 7, Multiprocessing, Multithreading, and Asynchronous Programming
  • Chapter 8, Scaling Out Python using Clusters
  • Chapter 9, Python Programming for the Cloud