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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

Using asynchronous programming for responsive systems

With multiprocessing and multithreaded programming, we were mostly dealing with synchronous programming, where we request something and wait for the response to be received before we move to the next block of code. If any context switching is applied, it is provided by the operating system. Asynchronous programming in Python is different mainly in the following two aspects:

  • The tasks are to be created for asynchronous execution. This means the parent caller does not have to wait for the response from another process. The process will respond to the caller once it finishes the execution.
  • The operating system is no longer managing the context switching between the processes and the threads. The asynchronous program will be given only a single thread in a process, but we can do multiple things with it. In this style of execution, every process or task voluntarily releases control whenever it is idle or waiting for another...

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