Jupyter

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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 and Julia.

Jupyter Notebook is the traditional and most stable application. JupyterLab has a new interface and is more suitable for working with larger projects consisting of multiple files. JupyterLab is considered "ready for daily use" since version 0.33.

Installation

For Jupyter Notebook, install the jupyter-notebook package.

For JupyterLab, install the jupyterlab package.

After installation, run the following to enable interactive Javascript widgets in the notebooks; otherwise, widgets will be disabled.

# jupyter nbextension enable --py --sys-prefix widgetsnbextension

To install third-party Jupyter Notebook extensions for the current user, use the --user option instead of --sys-prefix while executing jupyter nbextension install. To do the same for installation of JupyterLab extensions, set the environment variable

$ export JUPYTERLAB_DIR=$HOME/.local/share/jupyter/lab

and verify it by running jupyter lab paths. Then onwards follow usual installation instructions.

Running

To start the notebook server run:

$ jupyter notebook

To start JupyterLab run:

$ jupyter lab

Navigate to the URL given on the standard output if a web browser does not automatically open.

Kernels

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

Install the python2-ipykernel package for Python 2 support. Python 3 support (via python-ipykernel) is included when installing jupyter-notebook.

R

Follow the installation instructions in IR Kernel.

Sage math

Install the sagemath-jupyter package.

Octave

Install the jupyter-octave_kernelAUR package.

See also