Complete Guide to Python Test Automation Using Pytest and Nox

Test automation for off-hours with Pytest & Nox 🎩

What if you feel uneasy every time you fix the code ? What if you are manually performing the same tests every time?

Now, we'll reduce that time and stress! 🛩 Software testing made easy!

This lecture is not simply a lecture that teaches test grammar.

This is a journey to learn how to fill up your development with confidence and efficiency from the beginning to the end using Pytest , the standard for Python development, and Nox , a powerful automation friend. Let's learn how to test happily and automate smartly with me. 😄

✨ Something special that's only available in our classes!

• Only tools that are actually used in practice! The most widely used Pytest and Nox that completes the development workflow. Learn deeply about two core tools that are loved in practice these days.
  
  

• Don't get lost, follow the roadmap! No need to worry about 'what should I learn first?' Just follow the most efficient learning roadmap, from testing basics to building a CI/CD pipeline.
  
  

• The best way to learn code is to write it yourself! We don't just look at it. This is a hands-on course where you can make and develop a simple calculator project together, and make what you learn your own.

  
  
  

• Just testing? NO! Make the entire development process easier! Testing is the basics! From code style checks, formatting, to simultaneous testing in multiple environments. Automate all the annoying processes with Nox to improve the quality of development.

  
  

🚀 After class, we...

• Instead of feeling anxious and wondering, “Is this okay?” you will feel confident and say, “No problem!”

• You'll leave repetitive tasks to the computer and focus on more creative and important work .

• You might hear your colleagues say , "Wow, this code is really clean and stable!"

• You can become a trustworthy colleague who will take the team's development culture to the next level.

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I am Haeyeo , exploring the infinite possibilities of AI and computer engineering, and would like to share that journey with you.

During my undergraduate years, I was called a 'computer engineering addict' because of my passion for my major, and I graduated at the top of my class with a GPA of 4.4 or higher. I majored in AI at S Graduate School and received a master's degree, and deepened my expertise through a doctoral program.

However, as much as I was fascinated by theoretical exploration, I was also fascinated by solving real-world problems with AI and backend development, so I put my PhD on hold to gain valuable practical experience by working on an AI-based LLM and video analytics project at a startup.

Currently, I am working as an LLM project developer and PM at one of the top 3 domestic companies, contributing to the positive changes that AI technology will bring to our lives. I will share with you the concerns I have experienced, the process of solving them, and the vivid know-how I have gained from the field.

We will be your reliable guide on your journey into the exciting world of development.

Things to note before taking the class