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Notebooks in (geo)datascience

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Notebooks in (geo)datascience
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266
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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In the FOSS4G 2021 programme, the word 'notebook' appeared ten times and the word 'jupyter' ten times too in the abstracts of four workshops and four presentations. In 2022, 'jupyter' and 'notebook' appear in two workshops and two presentations abstracts. More discreetly, at least three workshops and one scientific paper used notebooks without mentioning them. As we can see, notebooks are becoming increasingly common in data science and the geospatial world. But what is a notebook? What is it useful for? What are its limitations? Are there other platforms than Jupyter? Can we do anything other than Python? What about geospatial? Are these tools FOSS? These are some of the questions that this presentation will try to answer. (TL;DR: yes!) If you have never heard of Quarto, Observable or Org-mode, this presentation is for you.