Jupyter
Jupyter is a project which produces browser-based interactive environments for programming, mathematics, and data science. It supports a number of languages via plugins ("kernels"), such as Python, Ruby, Haskell, R, Scala, Julia and Kotlin.
JupyterLab is "Jupyter’s Next-Generation Notebook Interface", while Jupyter Notebook is the original. See the Jupyter website for a comparison.
Installation
- For JupyterLab, install the jupyterlab package.
- For Jupyter Notebook, install the jupyter-notebook package.
To install third-party Jupyter Notebook extensions for the current user, use the --user option while executing jupyter nbextension install. To do the same for installation of JupyterLab extensions, set the following environment variable:
JUPYTERLAB_DIR=$HOME/.local/share/jupyter/lab
and verify it by running jupyter lab paths. Then onwards follow usual installation instructions.
Running
To start JupyterLab run:
$ jupyter lab
To start Jupyter Notebook run:
$ jupyter notebook
Navigate to the URL given on the standard output if a web browser does not automatically open.
Kernels
C++
Install the cling-jupyter-gitAUR package.
Haskell
Install the ihaskell-gitAUR package. Then run ihaskell install.
Julia
Install the julia package and run julia to get a REPL prompt. Then run:
using Pkg
Pkg.add("IJulia")
See the Julia manual for more details on package management.
Python
Python 3 kernel is used by default via python-ipykernel.
Perl
Install kernel and run interactive perl shell at least once:
cpanm Devel::IPerl iperl
Then press . Now if you run jupyter you will see perl there.
R
Follow the installation instructions in IR Kernel.
Rust
Install the package.
SageMath
Install the package.
Octave
Install the package.
Maxima
Install the maxima-jupyter-gitAUR package.
Cadabra
Install the package.
Kotlin
There is Kotlin Jupyter integration project.
Install Kotlin kernel with pip:
pip install kotlin-jupyter-kernel
The kernel is automatically bind to jupyter.