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Juka in Jupyter

If you are a data scientist or an analytic, you've probably heard of and used Jupyter.

Typically, Jupyter is used to run Python code. However, it can be used for many other languages.

We have created a Juka_kernel which allows Juka to communicate directly with Jupyter.

First you need to download Juka ( Once, downloaded add Juka to path.

On Windows, it is recommended that you follow the steps, outlined at

On Linux/Unix/MacOS (bash): Assuming that we stored Juka in /usr/bin/share/Juka, we run the following command:

$ export path = "/usr/bin/share/Juka:$PATH"

This will add Juka to PATH

NOTE: You might need to restart the terminal. It's recommended to restart your computer as well.

Next, you will need to install jupyter. Please follow the steps outlined at if you haven't done so.

Next, you can either install Juka_kernel from PyPi, by running

pip install juka_kernel

or install it directly from the source by downloading from: and running:

python -m juka_kernel.install

in the kernel folder.

Using the Juka kernel

Notebook: The New menu in the notebook should show an option for an Juka notebook.

Console frontends: To use it with the console frontends, add --kernel juka to their command line arguments.

What if a new version of Juka Comes out?

If a new version of Juka comes out, you do not need to update or upgrade the juka_kernel (unless we make big changes to the kernel). All you need to do is replace the files in Juka PATH. That's it! This makes it easy to upgrade Juka without having to uninstall and re-install kernel

Technical Details

Juka Kernel is written in Python and serves as a bridge between Jupyter and Juka. It does not compile or run the Juka code. It just serves as a messaging protocol.

If you would like to contribute to the Juka_kernel, please see