The Test Automation with PyTest course provides comprehensive training in leveraging PyTest, a powerful Python library, for writing and running tests. This course is designed to help learners develop skills in Python automation testing through a structured curriculum, starting with a refresher on Python basics and gradually moving towards more advanced concepts of testing with PyTest. Throughout the course, participants will delve into various aspects of PyTest, including Fixtures, Markers, Parameters, and Plugins, enabling them to write robust and maintainable test suites. The transition from Python's standard UnitTest framework to PyTest is also covered, providing strategies for existing Test code migration. By the end of this PyTest automation testing course, learners will be well-versed in the best practices of test automation, preparing them to implement and maintain a Python testing environment effectively.
Course Objectives:
In this course, you will learn to:
- Become proficient with PyTest from day one by solving real-world testing problems
- Use PyTest to write tests more efficiently
- Scale from simple to complex and functional testing
- Write and run simple and complex tests
- Organize tests in fles and directories
- Find out how to be more productive on the command line
- Markers and how to skip, xfail and parametrize tests
- Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch
- Convert unit test suites to PyTest using little-known techniques
Course content
Python Basics
- Python Overview
- Python Basics
Getting Started
- Installation
- What is Testing?
- Need for Testing
- Types of Testing
- Writing Testcases
- Testing Techniques
Introducing PyTest
- Why Spend time writing test
- UnitTest Module
- Why PyTest?
Writing and Running Test
- Installing PyTest
- Writing and Running Tests
- Organizing files and packages
- Command Line options
- Configure pytest.ini
- Lab: Install and Config
Markers and Parameters
- Mark Basics
- Built-in marks
- Parameterization
- Lab: Markers and Parameters
Fixtures
- Introduction to Fixtures
- Sharing fixtures with conftest.py files
- Scopes
- Autouse
- Parameterizing fixtures
- Using marks from fixtures
- Built-in fixtures
- Best Practices
Plugins
- Finding and installing plugins
- Overview of plugins
From UnitTest to PyTest
- Use PyTest as a Test Runner
- Convert asserts with unitest2pytest
- Handling setup/teardown
- Managing test hierarchies
- Refactoring test utilities
- Migration strategies
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Course Prerequisites
- Basic Python Programming: Proficiency in Python programming language, including knowledge of data types, control structures, functions, and object-oriented programming concepts.
- 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.
- Command-Line Proficiency: Comfortable using the command-line interface (CLI) for running tests, executing scripts, and managing environments.
- 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.
Who can attend
- QA Engineers and Testers transitioning to automated testing
- Software Developers interested in implementing testing frameworks
- DevOps professionals aiming to incorporate testing into CI/CD pipelines
- Technical Project Managers overseeing testing teams
- Data Scientists and Analysts requiring automated testing for data validation
- New graduates or career switchers entering the software testing field
- Technical Leads and Architects designing test automation strategies
- IT professionals wanting to learn about test automation best practices
- Python Programmers expanding their skill set into testing domains
Number of Hours: 25hrs
Certification
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- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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