Test Automation with Python(Pytest)

• Simplicity: pytest offers a simple syntax and easy-to-use framework for writing tests in Python.

• Fixture Mechanism: Powerful fixture mechanism for managing and reusing test resources and setup.

• Parameterized Testing: Capability to run the same test with different input data sets.

• Assertions: Rich set of built-in assertions for verifying expected outcomes and conditions.

Before delving into Test Automation with Python using pytest, it's beneficial to have the following foundational skills:

1. Basic Python Programming: Proficiency in Python programming language, including knowledge of data types, control structures, functions, and object-oriented programming concepts.

2. Understanding of Software Testing: Familiarity with fundamental concepts of software testing, including types of testing (unit, integration, system, etc.), test cases, test plans, and testing strategies.

3. Command-Line Proficiency: Comfortable using the command-line interface (CLI) for running tests, executing scripts, and managing environments.

4. Version Control Systems: Basic understanding of version control systems (e.g., Git) for managing and collaborating on code repositories, which is often used in testing workflows.

Learning Test Automation with Python using pytest equips you with several key skills essential for efficient and effective software testing and development:

1. Python Programming: Enhances proficiency in Python programming language, focusing on writing clean, maintainable, and efficient code for automated tests.

2. Test Automation: Mastery of automating the execution of test cases, reducing manual effort, and ensuring consistent and repeatable testing.

3. pytest Framework: Expertise in utilizing pytest framework features like fixtures, parameterization, assertions, and test discovery to structure and manage tests effectively.

4. Integration Testing: Ability to integrate automated tests into continuous integration (CI) pipelines, facilitating early detection of issues and ensuring code quality.