Simplify your Streamlit Python Development Experience with Dev Containers

Carmel Eve returned to endjin after a 3 year break to travel the world. She left a .NET Developer, and came back to discover a plethora of Python based data & analytics projects in-flight. Carmel has been recording her learning curve adapting to this new technology stack.

In this video, she guides you through setting up and utilizing dev containers to create a controlled, repeatable, and isolated Python development environment. In this video you will learn how to install WSL and Docker Desktop on Windows, configure VS Code with Docker and DevContainers extensions, and initialize your Python project with Poetry.

By following these steps, you can eliminate the hassle of managing dependencies and version conflicts across different projects. Perfect for any developer looking to streamline their Python development workflow.

• 00:00 Introduction to Local Development Containers
• 00:12 Challenges with Python Environment Management
• 00:41 Introduction to Dev Containers
• 01:28 Setting Up a Local Python Container
• 01:32 Installing WSL and Docker
• 02:55 Configuring VS Code for Dev Containers
• 04:31 Using Poetry for Dependency Management
• 06:51 Finalizing the Dev Container Setup
• 07:47 Conclusion and Next Steps

Useful links:

• Introduction to Containers and Docker
• Streamlit
• Docker Desktop
• WSL2
• VS Code Dev Containers
• Poetry
• Setting up multiple WSL distribution instances