python-for-physicists
A series of programming tutorials in Python aimed for physicists.
M01T04 - The Jupyter Notebook and JupyterLab
A journey to the largest pynet (planet)!
Project Jupyter provides a great way to work with different languages, be it to perform quick calculations or run extensive models.
The classic Jupyter Notebook is a lighweight web-based application to create presentable views or document computational workflows.
It’s modern interface is known as the JupyterLab, which is a modular, feature-rich web-based interactive development environment suitable for a variety of workflows.
Both of them provide a handful of tools to work with Python-based scripts.
Installing the Jupyter Notebook and JupyterLab
Jupyter Notebook and JupyterLab already come bundled inside the base environment when Anaconda is installed.
One can also install them in any environment (say, the py312 environment) with the following command:
conda install -n py312 notebook jupyterlab
Multi-environment Execution
It is advisable to install the notebook applications in the base environment and access the kernels of other environments through it without explicitly installing it in the other environments.
To do this, one needs to install nb_conda_kernels in the base environment (or the specific environment using which the notebook servers will be run) using:
conda install -n base nb_conda_kernels
Then, in any other environment (say, the py312 environment), one can just install the IPython kernel by exectuing:
conda activate py312
conda install ipykernel
Additionally, the interactive IPython widgets (more about it later) can be installed in this environment using:
conda install ipywidgets