Learn Julia in one workday!
If you have Julia and IJulia-notebooks installed, clone the repo and work local in the notebooks. Otherwise click on the badge below to open a Binder session or check the installation instructions below to install Julia and IJulia-notebooks.
The PDF version of the course notes can be downloaded here.
- Download the Julia binaries for your system here we suggest to install the Long-term support release, v1.0.5
- Check the Platform Specific Instructions of the official website to install Julia
- Yes, it is that simple
Then run the Julia application
(double-click on it); a window with a
julia> prompt will appear. At
the prompt, type:
using Pkg Pkg.add("IJulia")
to install IJulia.
This process installs a kernel specification that tells Jupyter (or JupyterLab) etcetera how to launch Julia.
Pkg.add("IJulia") does not actually install Jupyter itself.
You can install Jupyter if you want, but it can also be installed
automatically when you run
IJulia.notebook() below. (You
can force it to use a specific
jupyter installation by
ENV["JUPYTER"] to the path of the
Pkg.add, or before running
your preference is remembered on subsequent updates.
Running the IJulia Notebook
If you are comfortable managing your own Python/Jupyter installation, you can just run
jupyter notebook yourself in a terminal. To simplify installation, you can alternatively type the following in Julia, at the
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
package to install a minimal Python+Jupyter distribution (via
Miniconda) that is
private to Julia (not in your
On Linux, it defaults to looking for
jupyter in your
and only asks to installs the Conda Jupyter if that fails; you can force
it to use Conda on Linux by setting
ENV["JUPYTER"]="" during installation (see above). (In a Debian or Ubuntu GNU/Linux system, install the package
jupyter-client to install the system