Give your team on-demand, actionable insights into the status of your product with a fast, scalable test automation framework written in Python using the Pytest toolkit. Learn how to eliminate boilerplate setup and teardown code, run multiple tests at the same time, and track the history of your test runs to identify slow or problematic tests.
Learn lessons collected over years of professional automation in just a few hours.
- Never manage test suites again – let them manage themselves
- Achieve blazing fast test runs with parallel execution
- More coverage with less code
- Industry-ready test structure
A Bulletproof approach to automation fundamentals Python is one of the most popular languages in the world, and the demand for it is only increasing. Pytest is one of the most actively maintained testing frameworks in the industry, and provides an incredible set of tools for faster, less-stressful testing.
Automated testing is one of the most in-demand fields in today’s tech market, but there is very little guidance on how the engineer can move from writing tests to building a robust test architecture. Reliable test frameworks save compounding amounts of time and money, improve trust between testers and developers, and make for happier testers. Happy testers are more productive, more effective, and tend to grow within the organization. Everyone wins.
The most widely circulated videos on these topics speak only to the technologies themselves, and do not offer viable implementation guidance or valuable industry practices. I have made these valuable practices the focus of this course.
Content and Overview Suitable for those comfortable with basic Python and Object-Oriented Programming concepts, these lectures build a rock-solid foundation of skills required to automate at a professional level.
Beginning with a brief introduction and a step-by-step setup of Pytest, this course allows you to watch as I walk you through each action, explaining as we go.
We will discuss what makes a good framework, and maybe more importantly, what makes a bad one. We will learn how to use test searching to avoid cumbersome test suites, and how fixtures can eliminate up to 80% of the code in a bloated codebase.