The order of setting up these tools can vary depending on your specific project needs and workflow.
Typically, you would start by setting up Git branches to manage different versions of your codebase. Once you have set up your Git repository, you can create a Dockerfile to define the environment for your Python application, including any necessary dependencies, tools, and configurations. The Docker container can be used to provide a consistent and reproducible environment for running your Python application.
Next, you can create a Python virtual environment inside the Docker container to manage your Python dependencies. This can help ensure that your project dependencies are consistent and reproducible across different environments.
Once you have set up your Docker container and Python venv, you can start developing your code in a Git branch. You can activate the Python virtual environment and start installing any necessary project dependencies using pip. When you are ready to commit your changes, you can use Git to manage and version control your code.
Overall, the order of setting up Git branches, Docker containers, and Python venv can vary depending on your specific project needs and workflow. However, it's important to ensure that all three tools are integrated and working together to provide a consistent and reproducible development and deployment environment.
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