This video is an Intro to Python Mocks from library: what are Python mocks, why we have to use mocks, and when to do it. How to write Python tests for functions that make a request to external API. How to use the patch function to test Requests based functions with Python library. It's a Python unittest mock tutorial for beginners. Follow me @: Telegram: Twitter: Facebook: Timecodes: 00:00 - ideal testable function, and a unit test for it. 02:29 - example of a function with a dependency on another function. 06:02 - a test for the function with a dependency on another function. Problems that Mocks will solve. 07:48 - patch() function from 11:28 - an example of unit test of a function that makes a request to external API and returns a different result each time it's been called. A mock returns another mock. How to test requests. Why Python mocks are important: - Mocks eliminate dependency on network, database calls, calls to OS (it will speed testing) - we get isolated unit tests, - we can test methods that have no return value - reduce test complexity. We don't have to write complex logic to handle behavior of methods under tests. - don't have to wait to implement other methods. When should you mock? When you don't want to actually call an object Intro to Python Mocks | Python tutorial #python #testing #redeyedcoderclub