Unit testing can make or break your code’s reliability. Here’s a quick guide to getting it right in Python. No time to waste, let’s get started

10 Principles of Unit Testing 👨‍💻

submited by
Style Pass
2023-06-04 06:00:03

Unit testing can make or break your code’s reliability. Here’s a quick guide to getting it right in Python. No time to waste, let’s get started 🏃‍♂️

Unit tests should focus on a small piece of code — a function or method. This makes troubleshooting easier if the test fails.

Each test should be independent and should not rely on the outcome of another test. This allows you to run tests in any order without causing unexpected failures.

Avoid relying on external services in your unit tests. Use mocks to simulate external interactions. Python’s unittest.mock library comes in handy here.

Don’t forget the edge cases — they’re just as important as common use cases. Think empty strings, zero, nulls, negative numbers.

Don’t waste time testing framework code. Assume that Django, Flask, etc., have been sufficiently tested. Focus on your own business logic.

Make your tests clear and easy to understand. This is your documentation. Use descriptive function names, add comments if necessary.

Leave a Comment