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This video is about how to test Python code using PyTest.
The video starts with an introduction to PyTest, a popular testing framework in Python. It then explains how to set up a test file and write basic test cases using assert statements. The video also covers using fixtures to provide data for tests and parameterized tests to run the same test with different data sets.
Here are the key points covered in the video:
PyTest: PyTest is a testing framework for Python that makes it easy to write simple and scalable test cases. It is well-known for its simplicity and flexibility.
Test File: A test file is a Python file that contains test cases for your code. By convention, test files are named with test_ prefix.
Test Cases: Test cases are functions that verify the correctness of your code. They typically use assert statements to compare the expected output of your code with the actual output.
Fixtures: Fixtures are a way to provide a fixed baseline upon which tests can be reliably executed. They are used to set up context for the test, such as creating test data.
Parameterized Tests: Parameterized tests allow you to run the same test with different data sets. This can be useful for testing your code with a variety of inputs.
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