Beyond the Basics: Building Resilient Python Code in Week 3

1. 1Write test cases using Python's unittest framework to validate input handling
2. 2Implement try-except blocks to catch and handle exceptions
3. 3Use type hinting to specify expected input types
4. 4Configure logging to track and debug errors
5. 5Apply defensive programming techniques to prevent common errors

Data scientists and software engineers can benefit from this article to improve the robustness of their Python code

💡 Resilient code handles unexpected inputs and errors gracefully

🚀 Build resilient Python code with error handling and testing!