Managing dependencies, Python versions, and conflicting libraries in modern Python development can be cumbersome. Traditional tools like Venv, Virtualenv, and Pipenv have helped manage these issues, but Dev Containers with Daytona offer a better way to simplify and streamline the workflow. This guide walks you through setting up a Python development environment using Daytona's containerized workspaces and the Dev Container. To follow this guide, you need required tools and knowledge for hands-on learning, including an overview of both Dev Containers and Daytona. You'll also set up a Python project template, create a Python project workspace in Daytona, define a devcontainer.json file with specific environment configurations, and create essential project files like main.py and requirements-dev.txt. After initializing and committing your code, you'll use Daytona to build the Python dev environment using GitHub as a provider and open a workspace in VS Code. The setup ensures that projects are reproducible, isolated, and consistent across machines, enabling smooth collaboration and effortless debugging.