Software Testing Strategies Guide | Unit, Integration & E2E Testing

Deep learning is a family of machine learning methods that use multi-layer neural networks.

Testing asynchronous code requires careful consideration, often involving techniques like using promises, async/await within your tests, or leveraging done callbacks to manage the completion of asynchronous operations.

To test asynchronous code effectively, you can utilize `async/await` syntax within your test functions, ensuring that promises are properly returned or handled, and employing fake timers to simulate time-based behavior when necessary.

Modern testing frameworks increasingly offer support for asynchronous tests, allowing you to mock asynchronous dependencies effectively, use fake timers for simulating time-dependent code, and thoroughly test both successful and error scenarios.