Book Image

Learning Python Application Development

By : Ninad Sathaye
Book Image

Learning Python Application Development

By: Ninad Sathaye

Overview of this book

Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
Table of Contents (18 chapters)
Learning Python Application Development
Credits
Disclaimers
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Is your code covered?


Is there a way to check how well you are doing as far as testing is concerned? How much code is covered by the unit tests? For this, you need a Python package called coverage. It can be installed using pip as follows:

$ pip install coverage

The preceding command creates an executable called coverage at the same location as your Python installation. In Linux, if Python 3 is installed in /usr/bin/, coverage will be available at the same location as /use/bin/coverage. In Windows OS, it will be available in the Scripts directory, at the same location as pip.exe. Run the coverage command as follows:

$ cd wargame
$ coverage run -m test.test_wargame && coverage report

This command is a combination of two commands separated by && and executed one after the other. The first command runs the tests: coverage run -m test.test_wargame. This is similar to how we run the unit tests. The run option runs a Python program, and measures the code execution. As noted before...