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Below, we recommend some resources so you can get started with Jupyter as a development tool

The code infrastructure itself is written in Python though Jupyter is a language-independent framework. Therefore, the simplest way to have Jupyter in a cross-platform way is always to install a circulation of Python, such as for instance Anaconda, that incldues Jupyter as a package. Since we should focus on this page on the best way to compose documents in the place of regarding the development aspects, we won’t get into information at present on how best to utilize Jupyter; below, we recommend some resources so you can get started with Jupyter as being a programming device. For the time being, we give attention to getting Jupyter running and installed.

On Windows, we are able to once once again depend on Chocolatey:

On Linux and macOS / OS X, the procedure is very little more difficult. Continue reading