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README.md

Julia925

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.

Binder

Course notes

The PDF version of the course notes can be downloaded here.

Installation instructions

Installing Julia

  1. Download the Julia binaries for your system here we suggest to install the Long-term support release, v1.0.5
  2. Check the Platform Specific Instructions of the official website to install Julia
  3. Yes, it is that simple ⚡️

Installing IJulia

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 setting ENV["JUPYTER"] to the path of the jupyter program before Pkg.add, or before running Pkg.build("IJulia"); 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 julia> prompt:

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 PATH). On Linux, it defaults to looking for jupyter in your PATH first, 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 jupyter.)

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