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

Introducing automated CI

CI is a process that combines the benefits of both automated testing and version control systems to achieve a fully automated integration environment. With a CI development approach, we integrate our code into a shared repository frequently. Every time we add our code to a repository, the following two processes are expected to kick in:

  • An automated build process starts to validate that the newly added code is not breaking anything from a compilation or syntax point of view.
  • An automated test execution starts to verify that the existing, as well as new functionality is as per the test cases defined.

The different steps and phases of the CI process are depicted in the following diagram. Although we have shown the build phase in this flowchart, it is not a required phase for Python-based projects as we can execute integration tests without compiled code:

Figure 5.5 – Phases of CI testing

To build a CI system...