Book Image

Modern Python Cookbook - Second Edition

By : Steven F. Lott
Book Image

Modern Python Cookbook - Second Edition

By: Steven F. Lott

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand. This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications. The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it. By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
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Testing is central to creating working software. Here's the canonical statement describing the importance of testing:

Any program feature without an automated test simply doesn't exist.

That's from Kent Beck's book, Extreme Programming Explained: Embrace Change.

We can distinguish several kinds of testing:

  • Unit testing: This applies to independent units of software: functions, classes, or modules. The unit is tested in isolation to confirm that it works correctly.
  • Integration testing: This combines units to be sure they integrate properly.
  • System testing: This tests an entire application or a system of interrelated applications to be sure that the aggregated suite of software components works properly (also often known as end-to-end testing). This is often used for acceptance testing, to confirm software is fit for use.
  • Performance testing: This assures that a unit, subsystem, or whole system meets performance...