Python Environment Management for ML
Overview ML projects have complex dependencies. Proper environment management prevents conflicts and ensures reproducibility across machines. Tool Comparison Tool Speed Best For venv Fast Simple projects conda Slow CUDA, scientific uv Very fast Modern projects poetry Medium Package development venv (Built-in) # Create environment python -m venv .venv # Activate source .venv/bin/activate # Linux/Mac .venv\Scripts\activate # Windows # Install packages pip install torch transformers # Save dependencies pip freeze > requirements.txt # Reproduce pip install -r requirements.txt Conda Best for CUDA and scientific packages. ...