The code infrastructure itself is written in Python though Jupyter is a language-independent framework. Hence, the way that is easiest to have Jupyter in a cross-platform way would be to put in a circulation of Python, such as for instance Anaconda, that incldues Jupyter as a package. We won’t go into detail at the moment on how to use Jupyter; below, we suggest some resources for getting started with Jupyter as a programming tool since we want to focus in this post on how to write papers rather than on the programming aspects. For the time being, we concentrate on getting Jupyter set up and operating.
On Windows, we are able to once again depend on Chocolatey:
On Linux and macOS / OS X, the method is very little more complex.
To begin with utilizing Juyter Notebook, we suggest the after tutorial:
Commensurate with our objectives when you look at the introduction, to actually write TeX supply rule, we don’t want an instrument that actually works just for TeX. Rather, we would like one thing general-purpose that is also helpful for TeX. Read More