Unit Testing with Python Training in USA

Unit testing with Python training focuses on teaching participants how to write effective and maintainable unit tests for Python applications. The course covers the fundamentals of Python's unittest framework, including test case creation, test discovery, and running tests. Participants also learn to use popular libraries like pytest for advanced testing capabilities, such as fixtures, parameterized tests, and mocking. Hands-on exercises include writing test cases, organizing test suites, and integrating testing with CI/CD pipelines for continuous quality assurance. By the end of the training, attendees are equipped to implement robust unit testing strategies to ensure code reliability and quality.

Welcome to the official Unit Testing with Python Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic knowledge of Python programming.

• Familiarity with programming concepts like functions, loops, and conditionals.

• No prior experience with unit testing required.

• Unit Testing with Python: Understanding of unit testing concepts and the Python unit test framework.

• Test Automation: Ability to automate tests and integrate them into CI/CD pipelines.

• Test-Driven Development (TDD): Knowledge of writing tests before implementing code to ensure better code quality.

• Mocking: Ability to use mock objects to simulate external dependencies for isolated testing.

• Test Assertions: Proficiency in validating test results and using assertions to check conditions in the code.

Upon completion of this course, participants will:

• Understand the importance and principles of unit testing in software development.

• Learn to write unit tests using Python’s built-in unit test framework.

• Develop skills in writing effective and maintainable test cases.

• Gain an understanding of test-driven development (TDD) and how it integrates with Python.

• Learn to use mock objects to isolate code dependencies and test in isolation.