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)


In this chapter, we learned about wireframings and how they are used to mock up graphical interfaces. We also saw that, sometimes, the wireframe may already be available to you, such as a schematic diagram, so you don't have to make a new one or you can use it directly as the GUI itself.

We saw how to use Kivy's API calls to create a simple GUI using a pre-made schematic drawing and how to generate an output table of information. After making the GUI, we learned how to map the original text-based program to the GUI widgets to provide the user with a point-and-click method to adjust the program.

Finally, we looked at how to manually check the values of the fuel farm project and saw that, sometimes, it may be easier to manually test a GUI than write the automated tests if the GUI is simple enough.

There is a lot of information in this fuel farm simulation project...