During the PyTest training, participants will go through a comprehensive program that covers the following topics:

Review

We will start the training with a review of the basics of Python and testing, so that all participants have a common knowledge base. As part of the review:

• Proper Configuration of a Universal Test Environment: We will show how to configure a virtual environment and use pip to ensure efficient and consistent testing.
• Python - Review: A fresh look at basic Python elements such as variables, conditional statements, functions, and classes.
• Tests and the FIRST Rule, Functional Tests: Discussion on what functional tests are and how to apply the FIRST rule to create effective tests.
• Introduction to Python UnitTest: Overview of basic functions and capabilities of the UnitTest framework in Python.

How to Write Clear and Maintainable Tests?

Tips for creating tests that are easy to understand and maintain in the long run.

Introduction to PyTest

An introduction to the PyTest framework, its basic functions, and advantages.

• Key Features of PyTest, Differences from Python.UnitTest: Focus on the unique features of PyTest compared to UnitTest and explanation of how these differences affect the testing process.
• First Tests and Test Structure: Practical introduction to writing first tests and discussion of their structure.
• Running Tests, Most Useful PyTest Configuration: Showing how to run tests in PyTest and how to configure the environment for optimal results.

Conftest - Configuration File

Detailed discussion of the conftest.py file and its role in configuring PyTest tests.

Fixtures

An introduction to the fixtures mechanism in PyTest, which is crucial for creating modular and repeatable tests.

• Good Practices: Tips for shaping good habits when writing tests.
• Configuration and Parameterization: Discussion of ways to effectively configure tests and use parameterization in tests.
• Advanced PyTest Features: Presentation of more advanced PyTest features that allow for creating more complex test scenarios.

Using Assertions - Case Studies

Examples of using different forms of assertions in PyTest, along with specific case studies.

• Handling Floating-Point Comparisons, Exceptions: Practical tips on dealing with exceptions and floating-point comparisons in tests.
• Parameterization: Learning how to use parameterization in PyTest, which allows for more flexible and comprehensive testing.

This comprehensive training will provide participants with solid knowledge and skills in creating, configuring, and managing tests in the PyTest environment, preparing them for effective application testing in Python.