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

Working with Python test frameworks

Python comes with standard as well as third-party libraries for test automation. The most popular frameworks are listed here:

  • pytest
  • unittest
  • doctest
  • nose

These frameworks can be used for unit testing as well as for integration and system testing. In this section, we will evaluate two of these frameworks: unittest, which is part of the Python standard library, and pytest, which is available as an external library. The focus of this evaluation will be on building test cases (mainly unit tests) using these two frameworks, although the integration and system tests can also be built using the same libraries and design patterns.

Before we start writing any test cases, it is important to understand what a test case is. In the context of this chapter and book, we can define a test case as a way of validating the outcomes of a particular behavior of a programming code as per the expected results. The development of a test case...