Author email	sebastien.weber@cemes.fr
Last update	october 2024
Difficulty	Easy

3.8. Jupyter Lab

JupyterLab is a well known IDE giving access (among other things to notebooks). Let’s install it for practising with the PyMoDAQ’s notebooks tutorials .

JupyterLab can easily be installed with conda or pip. Create a new environment, for instance named jupyter and launch the command:

(jupyter) conda install jupyterlab nodejs

or

(jupyter) pip install jupyterlab nodejs

Done? You can enter the command: jupyter lab in your activated prompt to start it.

Fig. 3.99 Starting Jupyter lab

In fact by doing so, you’ve started a web server. You can then use a client, your favorite web browser, to access it. The address of the server is written in the prompt

Fig. 3.100 The start page of jupyter lab in our browser

Our default web browser is opening into a page starting with localhost that is an internal server. The file browser points to the directory where we started the server.

To ease the use of this, let’s create a shortcut with a starting field pointing to the location of the jupyter notebooks (for instance C:\Users\formateur\Documents\pre_formation_pymodaq)

Fig. 3.101 Shortcut creation

The jupyter icon can be found in it’s environment (we named it jupyter) that could be something like: C:\Users\formateur\miniconda3\envs\jupyter\Menu\jupyter.ico

Rename your shortcut and let’s configure jupyter lab to use the python interpreter from our form_pymodaq environment.

To do so, open a miniconda prompt and activate your environment.

Type in

(form_pymodaq) pip install ipykernel

(form_pymodaq) python -m ipykernel install --user --name form_pymodaq --display-name pymodaq

Fig. 3.102 Installing and registering our environment as a jupyter kernel

you’ll now be able to start a notebook in jupyter lab using the kernel (the interpreter) of your form_pymodaq environment, below is the one we simply named pymodaq.

Fig. 3.103 Selecting one of the installed kernel (interpreter)

And to open a notebook and configure it using the right kernel:

Fig. 3.104 Start a notebook with a given kernel

Ok you’re ready to go!