Book Image

Hands-On Application Development with PyCharm - Second Edition

By : Bruce M. Van Horn II, Quan Nguyen
5 (1)
Book Image

Hands-On Application Development with PyCharm - Second Edition

5 (1)
By: Bruce M. Van Horn II, Quan Nguyen

Overview of this book

In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers. To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains. By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.
Table of Contents (24 chapters)
1
Part 1: The Basics of PyCharm
4
Part 2: Improving Your Productivity
9
Part 3: Web Development in PyCharm
15
Part 4: Data Science with PyCharm
19
Part 5: Plugins and Conclusion

Checking test coverage

Unit tests are most effective when there are tests to cover every class, method, function, or module in your program. As your software code grows, it is easy to forget to write tests or maybe to put them off until you have more time. PyCharm has a tool that can tell you what your test coverage is and helps you find unexploited opportunities for testing more of your work than you might have on your own.

To check your test coverage, you just need to run your tests a little bit differently. We’ve been running our tests individually from within the test files. We need to run all the tests together so that we can have a comprehensive report of where we are missing coverage. For this, we will make a new run configuration. Click the run configurations dropdown on the toolbar and click Edit Configurations. Add a new configuration using the Python unittest template. Make sure you use my settings, as shown in Figure 6.22:

Figure 6.22: Create a run configuration that runs all your tests at once

Figure 6.22...