Install and Setup UV package manager

• https://docs.astral.sh/uv/getting-started/installation/

Set UV environment

• Go to your project folder (Notebooks) and use this command to initialise uv environment:
  • uv venv
• To view environment is create or not use the ls -al command, which will show .venv folder is created to handle uv environment.
• Now activate the environment using this command source .venv/bin/activate.

Set Jupyter Kernel

• To manage jupyter kernel in this create environment we first need to install the ipykernel package using uv.
  • uv pip install ipykernel
• Now to create a new kernel use this command:
  • python -m ipykernel install --user --name=myenv --display-name "Python (myenv)"
  • Here --name is name for your kernel and --display-name is the displayed named for your kernel.
• To check our kernel is created or not use this kernel list command: jupyter kernelspec list
• And to delete a existing kernel use this command: jupyter kernelspec uninstall myenv
  • Here instead of myenv give your kernel name.

Installing PyTorch

• First you need to install PyTorch in the newly created environment, using UV package manager: uv pip intall torch torchvision.
• This will take some time.

Start Jupyter Lab

• Now in terminal install jupyter lab using this command for the current environment: uv pip install jupyter lab.
• After installation run the jupyter lab using this command: jupyter lab .