Pytest - Automation testing using python

Pytest is a popular Python testing framework that makes it easy to write, test, and scale tests for applications and libraries, with a rich ecosystem of plugins and extensions.

Discover Pytest features: no api requirement, unit and doctest execution, clear failure details, function or method syntax, plugins, including skipping tests, plus open source status for parallel testing.

Explore three types of testing, focusing on unit testing—the smallest isolatable code piece—and learn how pytest, a popular open-source Python framework, simplifies writing tests with plugins.

Learn how to use pytest with Python to create tests and run them effectively. Structure test files with underscores and implement basic Python functions to verify results.

Write and run your first basic pytest test in python, creating test files, following naming conventions, and executing tests to see passes and failures in a practical automation testing demo.

Learn to run multiple pytest test files at once, manage batch executions across demo files, and interpret results from combined test cases.

Learn practical pytest testing by writing tests, importing libraries, and executing test suites to check outcomes and understand successes and failures.

Learn how to execute tests using substring filtering in pytest, running tests across multiple files, selecting test cases, and leveraging string patterns to control test execution.

Practice demo shows how to execute pytest tests using substring selection, build and run test cases, and verify outcomes via terminal commands.

Learn how Pytest markers label tests, use built-in markers and custom markers, import Pytest, and run marker-filtered tests with Pytest -m, while mapping markers to test features and attributes.

Explore practical markers in pytest for python automation, showing how to import pytest, declare markers, and control test execution with marked functions.

Fixtures in pytest run before each test to create data such as database connections, and tests receive that data by naming the fixture.

Learn to implement pytest fixtures in a practical, reusable way by importing fixtures, defining fixture functions, and using them across tests to manage setup and values.

Learn how to create a pytest fixture that builds a picture function and reuse it across files, importing fixtures and applying parameterized test cases.

Discover how to parametrize tests in pytest to run a single test against multiple input values, using a values table to cover many use cases efficiently.

Learn to implement parametrized tests in pytest by importing pytest, using pytest.mark.parametrize to define two parameters, and asserting expected outputs for multiple input cases.

Master pytest skip and xfail markers to selectively run or mark tests as expected failures, understand appropriate scenarios, and how execution and reporting behave.

Learn to stop a pytest test file after a set number of failed tests using the max speed option, with practical examples of A, B, C, and D test functions.

Configure Pytest to stop after a given number of failures, and observe how it halts subsequent test cases.

Explore fixtures and assertions in this quick pytest practical. Run tests in the terminal to diagnose failures and refine functions until they pass.

Explore pytest fixtures and how to pass two input values to test functions. See how fixtures organize tests to reveal passing and failing cases.

Learn to use pytest parametrize to run a single test with multiple inputs, avoiding repetitive test functions, and define inputs and expected results for automated Python testing.