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

Exercise


In this chapter, you learned how to document code, use Sphinx to generate documentation, and analyze the code using tools such as Pylint. Here is an exercise that covers these three aspects:

  • Download the code illustrated in Chapter 3, Modularize, Package, Deploy (you can also use your own Python code instead).

  • Write docstrings for this code (be sure to write docstrings at module, class, and method/function levels). You can use the default RST format to write the docstring or choose the Google Python Style Guide.

  • Generate an HTML documentation using Sphinx.

  • Run code analysis, using Pylint or any other tool, to fix coding errors and style problems.

The supporting code for this chapter is already documented to an extent. You can use this code as a reference and also try to improve the existing documentation further.