What are the differences between Python virtual environments and Docker?

What are the differences between Python virtual environments and Docker?

Python virtual environments are used to create isolated environments for Python projects, while Docker containers can encapsulate entire applications with all dependencies, including the OS.

Can you explain when to use one over the other?

Use Python virtual environments for lightweight projects that only require Python dependencies. Use Docker for applications that need to run consistently across different environments or include non-Python dependencies.

Are there any performance differences between them?

Yes, Docker can introduce some overhead due to containerization, but it provides better isolation and consistency across environments.

Can I use both together?

Absolutely! You can use a Python virtual environment inside a Docker container to manage Python dependencies while benefiting from Docker's isolation.