python automation testing course
Automating Quality: Mastering Python for Effective Testing
python automation testing course
A Python Automation Testing Course is designed to equip participants with the knowledge and skills necessary to automate software testing processes using Python programming. In this course, learners typically explore fundamental concepts of testing, including unit testing, integration testing, and functional testing, while gaining hands-on experience with popular Python testing frameworks such as pytest and unittest. The curriculum often covers test automation principles, best practices, and the use of libraries like Selenium for web application testing, facilitating the creation of efficient and maintainable test scripts. By the end of the course, participants are prepared to implement automated testing strategies in real-world projects, improve software quality, and streamline the software development lifecycle.
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1 - Course Introduction: An overview of automation testing, its significance in software development, and how Python fits into the automation landscape.
2) Python Programming Fundamentals: Introduction to Python basics, including data types, control structures, functions, and object oriented programming to ensure students have a strong foundation.
3) Setting Up the Environment: Guidance on how to set up Python, necessary libraries, and testing frameworks on various operating systems.
4) Introduction to Testing: Understanding the principles of software testing, types of testing (unit, integration, system, etc.), and the role of automation in the testing lifecycle.
5) Automation Testing Frameworks: Overview of popular Python testing frameworks like pytest, unittest, and their configuration and usage.
6) Writing Test Cases: Hands on experience in writing test cases in Python, focusing on best practices for writing maintainable and efficient tests.
7) Test Automation with Selenium: Introduction to Selenium for web application testing, covering installation, configuration, and writing automated test scripts for web apps.
8) API Testing with Python: Learning to test RESTful APIs using tools like Requests and Postman, and how to automate these tests with Python.
9) Continuous Integration: Understanding CI/CD concepts and how to integrate Python automation tests into CI/CD pipelines using tools like Jenkins or GitHub Actions.
10) Mocking and Patching: Learning how to use mocking and patching to isolate tests and simulate user interactions or external system calls.
11) Test Reporting: Implementing reporting systems for test results, including HTML reports and logging mechanisms to track test execution statuses effectively.
12) Performance Testing: An introduction to performance testing concepts and how to use Python for load testing with tools like Locust.
13) Best Practices in Automation Testing: Discussing best practices to follow in automation testing, including maintainability, code reviews, and documentation.
14) Real world Projects: Working on real world projects that simulate actual scenarios, allowing students to apply their knowledge practically and build a portfolio.
15) Career Guidance and Job Readiness: Offering insights into the job market for automation testers, resume building tips, and interview preparation strategies to help students secure employment.
This comprehensive course structure aims to equip students with practical skills and knowledge needed for a successful career in Python automation testing.
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