At ESRF Jupyter-Slurm, installing libraries directly into the environment can be challenging due to restrictions. However, you can bypass these limitations by creating a virtual environment and connecting it to Jupyter-Slurm. This guide will walk you through the necessary steps to set up and configure your virtual environment for seamless integration.

• Ensure you have Python 3 installed on your system.
• Access to ESRF Jupyter-Slurm.

To create a virtual environment, use the following command:

python3 -m venv your_venv_name

Replace your_venv_name with a name of your choice for the virtual environment.

Activate your newly created virtual environment. The activation command varies depending on your operating system:

• Linux:

  source path_of_your_venv/your_venv_name/bin/activate
  

Once the virtual environment is activated, you can install the required libraries using pip. For example:

pip3 install numpy pandas matplotlib

After installing the necessary libraries, you need to connect your virtual environment to Jupyter-Slurm. This is done by installing the ipykernel package and creating a new kernel:

pip install ipykernel
python -m ipykernel install --user --name your_venv_name

Replace your_venv_name with the name you chose for your virtual environment.

• Open Jupyter Notebook through Jupyter-Slurm.
• Go to the "Kernel" menu and select "Change kernel".
• Choose the kernel named "your_venv_name" that you created in the previous step.

By following these steps, you can successfully create a virtual environment and connect it to Jupyter-Slurm, allowing you to install and use the required libraries without any restrictions. This setup ensures a flexible and efficient working environment for your projects at ESRF.

If you encounter any issues or need further assistance, please feel free to open an issue on this repository.