[](https://travis-ci.org/JuliaLang/IJulia.jl) [](https://ci.appveyor.com/project/StevenGJohnson/ijulia-jl) [](https://JuliaLang.github.io/IJulia.jl/stable) [](https://JuliaLang.github.io/IJulia.jl/dev) # 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).