Book Image

Modern Python Cookbook

Book Image

Modern Python Cookbook

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand. This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language. The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Testing things that involve dates or times


Many applications rely on datetime.datetime.now() to create a timestamp. When we use this with a unit test, the results are essentially impossible to predict. We have a dependency injection problem here, our application depends on a class that we would like to replace only when we're testing.

One option is to avoid now() and utcnow(). Instead of using these directly, we can create a factory function that emits timestamps. For test purposes, this function can be replaced with one that produces known results. It seems awkward to avoid using the now() method in a complex application.

Another option is to avoid direct use of the datetime class entirely. This requires designing classes and modules that wrap the datetime class. A wrapper class that produces known values for now() can then be used for testing. This, too, seems needlessly complex.

How can we work with datetime stamps?

Getting ready

We'll work with a small function that creates a CSV file. This...