• views: 79
• date: 9 January 2025
• posted by: voska89

Master key areas such as command line parsing, logging, configuration file management, and versatile test output formats
What you'll learn
Create Python Test Framework from scratch
Parse command line, work with configuration files, logging
Create test results in text, Excel, Word, HTML or SQL format
Run the tests via Jenkins
Requirements
Basic Python knowledge
Basic SQL knowledge
Basic HTML knowledge
Description
Unlock the power of automated testing with our comprehensive course on creating a test framework in Python! Designed for aspiring QA engineers and developers, this course will guide you through the essential concepts and practical steps needed to build your own test framework from scratch.In the first section, you'll be introduced to the course structure and the importance of test frameworks in software development. We'll cover what a test framework is and why it's critical for efficient testing processes. As you progress, you'll learn how to create a test framework, followed by strategies for enhancing its functionality.Delve into command line parsing with the argparse library, understand the significance of logging beyond simple print statements, and discover how to implement various types of configuration files, including text, JSON, INI and XML formats. We'll also explore different ways to output test results, such as text files, Excel (CSV), Word documents, HTML, and SQL databases.Finally, you'll learn how to run your tests seamlessly from the command line and integrate them with Jenkins for continuous integration. This hands-on course includes practical exercises and quizzes to reinforce your learning, ensuring you not only understand the concepts but can apply them in real-world scenarios.Join us and elevate your testing skills to the next level by mastering the creation of a robust test framework in Python!
Who this course is for
Beginner to medior Test Automation Engineers
Homepage

https://www.udemy.com/course/build-robust-test-frameworks-in-python/

   
   
   

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