Python 3.13.5 : use the jupyterlab, notebook and voila - part 001.

JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality.

Let's test with these python modules: jupyterlab, notebook and voila.

First, I install with pip tool the jupyterlab python module:

pip install jupyterlab
Collecting jupyterlab
...
Successfully installed anyio-4.9.0 argon2-cffi-25.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-3.0.0 async-lru-2.0.5
attrs-25.3.0 babel-2.17.0 bleach-6.2.0 cffi-1.17.1 comm-0.2.2 debugpy-1.8.14 defusedxml-0.7.1 executing-2.2.0 
fastjsonschema-2.21.1 fqdn-1.5.1 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 ipykernel-6.29.5 ipython-9.4.0 
ipython-pygments-lexers-1.1.1 isoduration-20.11.0 jedi-0.19.2 json5-0.12.0 jsonpointer-3.0.0 jsonschema-4.24.0 
jsonschema-specifications-2025.4.1 jupyter-client-8.6.3 jupyter-core-5.8.1 jupyter-events-0.12.0 jupyter-lsp-2.2.5 
jupyter-server-2.16.0 jupyter-server-terminals-0.5.3 jupyterlab-4.4.4 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 
matplotlib-inline-0.1.7 mistune-3.1.3 nbclient-0.10.2 nbconvert-7.16.6 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-shim-0.2.4
overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.4 platformdirs-4.3.8 prometheus-client-0.22.1 prompt_toolkit-3.0.51 
psutil-7.0.0 pure-eval-0.2.3 pycparser-2.22 python-json-logger-3.3.0 pywin32-310 pywinpty-2.0.15 pyyaml-6.0.2 pyzmq-27.0.0
referencing-0.36.2 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.26.0 send2trash-1.8.3 sniffio-1.3.1 
stack_data-0.6.3 terminado-0.18.1 tinycss2-1.4.0 tornado-6.5.1 traitlets-5.14.3 types-python-dateutil-2.9.0.20250516 
uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0

Next, the install of the notebook python module

pip install notebook
Collecting notebook
...
Installing collected packages: notebook
Successfully installed notebook-7.4.4

This python package named voila will help us to use online graphic user interfaces:

pip install voila
Collecting voila
...
Successfully installed voila-0.5.8 websockets-15.0.1

The voila package need to work with ipywidgets python package:

pip install ipywidgets
Collecting ipywidgets
...
Successfully installed ipywidgets-8.1.7 jupyterlab_widgets-3.0.15 widgetsnbextension-4.0.14

Let's start the jupiter tool with this command:

jupyter notebook

I used an default python example with a slider:

import ipywidgets as widgets
from IPython.display import display

slider = widgets.IntSlider(value=5, min=0, max=10)
display(slider)

This command will start the web with the slider using the voila command:

voila test.ipynb

The result is this:

News : JupyterLab 4.0 released.

The Jupyter contributor community is proud to announce JupyterLab 4.0, the next major release of our full-featured development environment. The package is now available on PyPI and conda-forge. You can upgrade by running pip install --upgrade jupyterlab or conda install -c conda-forge jupyterlab.

You can read more on the official website.

Python 3.11.3 : Using Jupyter Lab on Fedora linux distro.

JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning.

Follow these steps:

1. Install the jupyterlab python package using pip. This will allow you to run Jupyter notebooks in the terminal.

   pip install jupyterlab

2. Open a Jupyter Lab session in the terminal using the command:

   jupyter lab

3. Create a new notebook file and save it with the .ipynb extension.
4. In the notebook file, add the source code to work with the Python programming language and save the file notebook.

See the next screenshot how this works: