Now you know how to use Python’s
assert statement to set sanity checks throughout your code and make sure that certain conditions are and remain true. When any of these conditions fail, you have a clear indication of what’s happening. This way, you can quickly debug and fix your code.
assert statement is pretty handy when you need to document, debug, and test your code during the development stages. In this video course, you learned how to use assertions in your code and how they can make your debugging and testing process more efficient and straightforward.
In this video course, you learned:
- What assertions are and when to use them
- How Python’s
assertis handy for documenting, debugging, and testing code
- How assertions can be disabled to improve performance in production
- What common pitfalls you can face when using
With this knowledge on the
assert statement, you can now write robust, reliable, and less buggy code, which can take you to the next level as a developer.
To fill out your debugging and testing tool kit, check out these courses:
- Python Debugging With pdb
- Write and Test a Python Function: Interview Practice
- Testing Your Code With
- Test-Driven Development With
- Improve Your Tests With the Python Mock Object Library
- Continuous Integration With Python
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
gunnarpruss on April 28, 2023
Hi Darren, thanks a lot for the course! It’s not related to Python assertions, but I was wondering how you achieved such smooth typing in the screencast?
Many thanks and with best regards, Gunnar