Automated Software Testing with Python
Why take this course?
🚀 Course Title: Automated Software Testing with Python
🎉 Headline: Master Automated Testing for Web Applications using Python, BDD, Selenium WebDriver, and Postman!
📘 Description:
Welcome to the Automated Software Testing with Python course on Udemy – your gateway to mastering the art of test automation without the headaches! 🌍
Testing automation doesn't have to be a daunting task. In fact, it's an essential skill for every developer, and I, Jose Salvatierrac, founder of Teclado, am here to guide you through this exciting journey. 🛠️💻
What's in Store for You?
- Hands-On Learning: Dive deep into the world of testing with Python by using the
unittestlibrary, mastering mocking and patching, and exploring different types of tests: unit, integration, system, and acceptance. 🤖 - Modern Tools & Technologies: Get up to speed with cutting-edge tools like Postman for API testing and Selenium WebDriver for automating browser tests. Plus, learn how to integrate Git and Travis for seamless continuous integration. 🚀
- Comprehensive Testing Skills: From the fundamentals of mocking and patching to understanding the Testing Pyramid, you'll be fully equipped with all the necessary skills for a career in software testing or to enhance your current projects. 🏗️
- The Testing Pyramid: Understand the importance of having a solid base of unit tests and how to balance different types of tests as per the Testing Pyramid philosophy. 📈
- Browser Testing Mastery: Learn to design professional acceptance tests using Selenium WebDriver, page models, locators, and step definitions. Discover how to efficiently use implicit and explicit waits to optimize your test runtime. 🕒
- Continuous Integration: Take your testing game a notch higher by setting up a Continuous Integration pipeline that automatically runs your tests whenever you make changes to your code. This ensures top-notch quality and prevents those sneaky bugs from slipping through! 🛣️✅
Why Choose this Course?
- Real-World Scenarios: This course is designed to reflect real-world challenges and solutions in software testing, ensuring you're prepared for any project. 🌍
- Expert Guidance: As a software engineer and course instructor, I bring years of experience to the table, offering you insights that are both practical and profound. 🧠👩💻
- Community Support: Join a community of like-minded learners who are on the same journey as you. Share experiences, ask questions, and grow together! 🤝
I'm really excited to see you thrive in this course! 🌟
Join Me Inside where we'll unlock the secrets of automated software testing with Python and transform the way you think about quality assurance. Let's embark on this adventure together and elevate your development skills to new heights! 🚀🙌
Enroll now and let's get started! 🎓💫
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Comidoc Review
Our Verdict
Automated Software Testing with Python is a comprehensive and engaging course that covers everything you need to know about automated software testing with Python. While it may be too advanced for beginners, it provides a wealth of knowledge and practical skills that can help you write better code, avoid common pitfalls, and enjoy the testing process. With regular updates and a responsive instructor, this course is definitely worth considering for anyone looking to improve their automated software testing skills.
What We Liked
- Covers a wide range of topics in automated software testing, from Python basics to advanced BDD and Selenium WebDriver techniques
- Provides real-world examples, use cases, and exercises that help illustrate key concepts and best practices
- Lectures are clear, engaging, and easy to follow, with a friendly and knowledgeable instructor who is responsive to questions and feedback
- Updated regularly to include new tools, techniques, and practices in the ever-evolving field of automated software testing
Potential Drawbacks
- May be too fast-paced for beginners or those without prior Python or software testing experience
- Some sections may be outdated or require manual updates to work with current versions of tools and dependencies
- Lacks some advanced topics such as test fixtures, debugging pytest tests, and using gitlab ci instead of travis for continuous integration
- Could benefit from more in-depth explanations and examples of why and how certain testing techniques are used