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Python GUI Programming with Tkinter, 2nd edition

Python GUI Programming with Tkinter, 2nd edition

By : D. Moore
4.3 (34)
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Python GUI Programming with Tkinter, 2nd edition

Python GUI Programming with Tkinter, 2nd edition

4.3 (34)
By: D. Moore

Overview of this book

Tkinter is widely used to build GUIs in Python due to its simplicity. In this book, you’ll discover Tkinter’s strengths and overcome its challenges as you learn to develop fully featured GUI applications. Python GUI Programming with Tkinter, Second Edition, will not only provide you with a working knowledge of the Tkinter GUI library, but also a valuable set of skills that will enable you to plan, implement, and maintain larger applications. You’ll build a full-blown data entry application from scratch, learning how to grow and improve your code in response to continually changing user and business needs. You’ll develop a practical understanding of tools and techniques used to manage this evolving codebase and go beyond the default Tkinter widget capabilities. You’ll implement version control and unit testing, separation of concerns through the MVC design pattern, and object-oriented programming to organize your code more cleanly. You’ll also gain experience with technologies often used in workplace applications, such as SQL databases, network services, and data visualization libraries. Finally, you’ll package your application for wider distribution and tackle the challenge of maintaining cross-platform compatibility.
Table of Contents (22 chapters)
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19
Other Books You May Enjoy
20
Index
Appendices

Writing tests for our application

Let's put our knowledge of unittest and Tkinter to work and write some automated tests for our application. To get started, we need to create a test module. Make a directory called test inside the abq_data_entry package, and create the customary empty __init__.py file inside. We'll create all of our test modules inside this directory.

Testing the data model

Our CSVModel class is fairly self-contained apart from its need to read and write files. We'll need to mock out this functionality so that the tests don't disturb the filesystem. Since file operations are one of the more common things that need to be mocked out in a test, the mock module provides mock_open(), a Mock subclass ready-made to replace Python's open() method. When called, a mock_open object returns a mock file handle object, complete with support for the read(), write(), and readlines() methods.

Create a new file in the test directory called test_models...

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