There are also two optional episodes, “Shell commands, magics and widgets” and “Additional exercises” Which is brilliantly enabled by notebooks.Īfter the first three episodes the focus shifts to topics related to version control (“Notebooks and version control”), open science and reproducibility (“Sharing notebooks”) which connects to topics covered in other CodeRefinery lessons. “A first computational notebook” are meant to inspire participants to use notebooks forĬertain appropriate tasks, highlighting in particular the “computational narrative” aspect The episodes “Motivation”, “The JupyterLab and notebook interface” and One purpose of teaching this lesson is still to introduce Jupyter to participants who haven’t Since then, more and more participants are already using Jupyter for various purposes
#Github jupyterlab code
To a cool new tool around which there was a lot of buzz (particularly in data science),Īnd which could be useful to researchers to quickly prototype code and analyze data in an interactive way. When CodeRefinery started teaching this lesson it was meant to introduce participants
Instructor guide Why we teach this lesson
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