How to run Jupyter Notebook inside Python virtualenv
Yesterday I came across a problem where Langchain ran into some issues with my globally installed Pydantic and hence, I wasn’t able to run the code I had written to leverage LLM. So this is an article detailing how you can run Jupyter Notebook inside a Python virtualenv. I am assuming you already have Jupyter Notebook installed.
Step 1 - Initialize virtualenv
Go to the directory where you want to run Jupyter from and create a virtual environment.
python3 -m venv .venv
Activate the environment
source .venv/bin/activate
Step 2 - Install ipykernel
To manage the kernel, you will need to install ipykernel
.
pip install ipykernel
Now to check which kernels you have, you can run jupyter kernelspec list
As you can see there is only one kernel currently configured.
Step 3 - Setup iPython kernel
Now, to install a new kernel, use this command
python -m ipykernel install --user --name notebooks --display-name "Notebooks"
This will configure a new kernel in your Jupyter Notebook. The list will now look like
If you go to the path mentioned here, you will find a kernel.json
file which will contain the path to the venv file.
Step 4 - Switch to this kernel in Jupyter Notebook
Run Jupyter Notebook from the venv using
jupyter notebook
Now, open a Notebook and you can find the new kernel and switch to it.