Software testing is a crucial step in ensuring the quality of software. In the testing domain, Pytest has become a powerful and flexible testing framework, offering ease of use and catering to various testing needs. This article will guide you from scratch on how to use Pytest, covering basic concepts, installation and configuration, as well as writing simple test cases and running tests.

Basic Concepts and Advantages of Pytest

What is Pytest

Pytest is a testing framework based on Python that provides simple yet powerful testing tools suitable for projects of various scales and types. Compared to traditional testing frameworks, Pytest offers a more flexible syntax and rich functionality, simplifying the process of writing test code.

Advantages of Pytest

  1. Concise Syntax: Pytest provides a concise and intuitive testing syntax, making the writing of test cases easier.
  2. Extensive Plugin Support: The Pytest ecosystem boasts numerous plugins that can meet the testing needs of different projects, allowing easy extension of the testing framework’s functionality.
  3. Automatic Test Discovery: Pytest can automatically discover test cases in a project, eliminating the need for tedious configuration and reducing preparation work.
  4. Rich Assertion Libraries: Pytest integrates a variety of assertion libraries, supporting multiple assertion styles, making test results clearer.

Installing and Configuring Pytest

Installing Pytest

Before getting started with Pytest, you need to install it. You can use the pip tool to execute the following command:

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This command installs the latest version of Pytest into your Python environment.

Configuring Pytest

While Pytest does not require complex configuration, there are times when custom settings are needed, such as specifying the format of the test report or the output directory. You can achieve this by writing a `pytest.ini` file or using parameters on the command line.

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In this example, various test run parameters, such as verbose output (`-v`) and the generation of an HTML-format test report, are configured.

Writing Simple Test Cases and Running Tests

Writing Test Cases

In Pytest, test cases are defined by writing functions, with the function names following the convention of starting with “test_.” For example:

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The above code defines two simple test cases, verifying the correctness of addition and subtraction.

Running Tests

In the project’s root directory, run the following command to execute tests:

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Pytest will automatically discover and execute all test cases in the project that adhere to the naming convention. The results will be displayed in the terminal, and the generated test report can be found in the configured output directory.


Through this introductory guide, you have gained an understanding of the basic concepts, advantages of Pytest, and how to install, configure, write simple test cases, and run tests. Pytest’s concise syntax and powerful features make software testing more straightforward and enjoyable. In future projects, you can further explore Pytest’s advanced features based on your specific needs to better handle complex testing scenarios. We hope you experience more efficient testing work while using Pytest!