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Learn to use mocking in Python tests to isolate code from external dependencies like APIs or databases, ensuring reliable, controlled testing.
Mocking helps test code in isolation by replacing external dependencies like databases or web services, ensuring reliable and focused unit testing.
Python developers write, test, and maintain code using Python. They build applications, manage data, and solve problems. This role requires both technical skills and teamwork.
Explore test.support, a vital Python module powering CPython's test suite. Though not for general use, it reveals testing insights and best practices for developers.
Learn how to write unit tests for Python classes to ensure code reliability, catch bugs early, and maintain clean, efficient development practices.
Use pytest markers to categorize and run specific tests, saving time by focusing only on relevant test cases and areas of your codebase during development.
Sanity testing quickly verifies if recent code changes function correctly, ensuring software stability after updates and preventing major bugs before full testing.
Selenium automates web browsers for testing or scraping, simulating user actions like clicking and form filling. Set it up in Python to control browsers programmatically.
Learn to write and run tests with Python's unittest module, plus debugging techniques to ensure robust, reliable code and catch bugs early.
A beginner-friendly guide to Python testing and debugging, covering essential techniques to write reliable and robust applications.