If you're installing multiple Python versions locally, you're making your life harder.
In this video, I show you how to run different Python versions (3.8, 3.10, 3.11, 3.12) side by side using Docker — without touching your system installation.
No pyenv.
No version conflicts.
No environment mess.
Just clean, isolated containers — the way production engineers handle it.
This approach is especially useful for:
ML engineers testing across versions
Backend developers maintaining legacy systems
Interview preparation
Clean DevOps workflows
By the end of this short demo, you'll understand how to use Docker to manage Python versions professionally.
—
Rahul Jha (DataGeekRJ)
AI/ML Engineer | Deployment | Production Systems
