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

Chapter 4. Documentation and Best Practices

So far, the focus was on developing the code and getting the first release out the door. We have not talked about another vital aspect of application development, the documentation and coding standards. Although the code base is still quite manageable, before it is too late, we should learn techniques to improve code readability. In this chapter, we will cover the following topics:

  • Understanding the basics of the reStructuredText (RST) format and how to use it for writing docstrings

  • Learning how to create HTML documentation for the code using the Sphinx document generator

  • Covering some important coding standards for writing the Python code

  • Using Pylint to evaluate how well we are doing in following these guidelines

As you can guess from the preceding topics, we are taking a short break from coding to learn these very important concepts.

If you are well aware of the code, you might find documentation unnecessary. But imagine you are assigned a different...