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Revision as of 05:36, 6 January 2019 by Cwaffles (talk | contribs) (make julia 0.7+ work with 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.


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 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.



Install the ihaskell-gitAUR package. Then run ihaskell install.


Install the julia package and run julia to get a REPL prompt. Then run:

using Pkg

See the Julia manual for more details on package management.


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


Follow the installation instructions in IR Kernel.

Sage math

Install the sagemath-jupyter package.


Install the jupyter-octave_kernelAUR package.

See also