Jupyter Notebooks are a tool popular in the realm of [[Data Science and Data Analytics]]. They are self-contained _notebooks_ (saved as [[JSON]] files, actually) that are typically used for [[Exploratory Data Analysis]]. Jupyter Notebooks are comprised of a list of cells, each of which is either a [[Markdown]] cell, used for exposition, or code cells using one of several potential languages. The most typical language from my experience is [[Python]], although languages like R and [[JavaScript]] and numerous others are also supported. Jupyter notebooks are interesting, and a bit strange to me. I'm not used to making data products where the **code itself** is _part_ of the displayed product. This is a case of data folks making data products for the consumption of other data folks. I'm still much more comfortable working with [[Spreadsheet]]s. There's apps for the iPad that let you run Jupyter notebooks locally. Going to play around with one of those soon. I think weirdly the iPad might be a case where I "see the light" so to speak on Jupyter notebooks. The whole spreadsheet experience on an iPad is not great. Spreadsheets just expect you to use the mouse a bit too much, and the iPad makes working with that (or around that) tedious. A Jupyter notebook has no such expectation. I could see this iPad, my favorite tool for writing & drawing, becoming more useful for data stuff, too. **** # More ## Source - Grad School & Experimentation ## Related