That means that you can use Jupyter notebooks for more than Python! In this reading, I’ll show you how to setup R to work with Jupyter Notebooks. In the Jupyter ecosystem, the program being used to actually run your analysis (i.e. Python, R) is referred to as a kernel. ![]() This makes it possible to create one interface (a text editor, a window where results are displayed, etc.) that can be used to run your analyses in any number of different programs. ![]() As we discussed before, the idea of Jupyter is to separate the interface you are working with from the underlying programming language doing your analysis.
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