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https://github.com/JuliaLang/IJulia.jl

Julia kernel for Jupyter
https://github.com/JuliaLang/IJulia.jl

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Julia kernel for Jupyter

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# IJulia



**IJulia** is a [Julia-language](http://julialang.org/) backend

combined with the [Jupyter](http://jupyter.org/) interactive

environment (also used by [IPython](http://ipython.org/)).  This

combination allows you to interact with the Julia language using

Jupyter/IPython's powerful [graphical

notebook](http://ipython.org/notebook.html), which combines code,

formatted text, math, and multimedia in a single document.

IJulia is a Jupyter language kernel and works with a variety of notebook

user interfaces. In addition to the classic Jupyter Notebook, IJulia

also works with [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/), a Jupyter-based

integrated development environment for notebooks and code.

The [nteract notebook desktop](https://nteract.io/) supports IJulia with

detailed instructions for its [installation with nteract](https://nteract.io/kernels/julia).



(IJulia notebooks can also be re-used in other Julia code via

the [NBInclude](https://github.com/stevengj/NBInclude.jl) package.)



## Quick start



Install IJulia from the Julia REPL by pressing `]` to enter pkg mode and entering:



```

add IJulia

```



If you already have Python/Jupyter installed on your machine, this process will also install a

[kernel specification](https://jupyter-client.readthedocs.io/en/latest/kernels.html#kernelspecs)

that tells Jupyter how to launch Julia. You can then launch the notebook server the usual

way by running `jupyter notebook` in the terminal.



Alternatively, you can have IJulia create and manage its own Python/Jupyter installation.

To do this, type the following in Julia, at the `julia>` prompt:



```julia

using IJulia

notebook()

```



to launch the IJulia notebook in your browser.

The first time you run `notebook()`, it will prompt you

for whether it should install Jupyter.  Hit enter to

have it use the [Conda.jl](https://github.com/Luthaf/Conda.jl)

package to install a minimal Python+Jupyter distribution (via

[Miniconda](http://conda.pydata.org/docs/install/quick.html)) that is

private to Julia (not in your `PATH`).



For more advanced installation options, such as specifying a specific Jupyter

installation to use, see the [documentation](https://JuliaLang.github.io/IJulia.jl/stable).