Learn how to set up, run, and test a virtual environment in Visual Studio Code. Perfect for beginners managing Python dependencies efficiently.

Ubuntu is a free computer system, like Windows or macOS, but it’s built by a community. It’s great for programmers because it’s very flexible and has lots of tools already built-in that help you code.

The alternative to Conda style python environments is to use Python's virtual environment approach. There is an environment module on all HPC clusters named: python/3.12.7 that can be used.

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to ...

Use Python virtual environments: A Python virtual environment is an isolated and secure workspace where you can install packages and work with different versions of the same software in a safe way.

You can use familiar tools such as pip to add it to your Python environment, with only a single change to PyTorch Python code needed to run PyTorch through the DML virtual device.