We want to create a Python-based working environment on a virtual machine (VM) that allows for seamless code execution, disk space management, and sharing capabilities with team members. This setup should support dynamic scaling of RAM and GPU resources as needed, with a "pay-as-you-go" billing model for resource consumption. The environment should also enable us to leave our developed code in a standalone, executable state, so it can be run independently by others.

To support isolated package management, we’ll install necessary Python libraries (e.g., pip, venv, numpy, pandas, etc.) and configure the workspace as a virtual environment using venv or conda. Additionally, the VM should persist data, ensuring that all work remains available after exiting, creating a highly efficient, collaborative, and scalable workspace