Book Image

Learn Programming in Python with Cody Jackson

By : Cody Jackson
Book Image

Learn Programming in Python with Cody Jackson

By: Cody Jackson

Overview of this book

Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages–Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily. The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment.
Table of Contents (14 chapters)

Software Post-Production

Once a project is deemed complete (you can always revisit it later with a revision), there are a couple of housekeeping things you should think about. While we added a few comments and basic docstrings to our code, more complete in-code documentation never hurts. By doing that, we can set the project up to help autogenerate user documentation. Finally, it's important to conduct a lessons-learned review of the project to see what went wrong and what could be improved in the future.

In this chapter, we will cover the following topics:

  • Writing more complete docstrings
  • Generating Sphinx documentation
  • Conducting an after-action review