By Neil Horlock
Jupyter notebooks have rapidly become the de facto way to share data science projects on portals such as Kaggle. Jupyter is a great rich media prototyping and experimenting platform for Python and R but many people don’t realise that you can use it for far more.
This talk will be predominantly live demo and some limited slide presentation, introducing Jupyter notebooks, and the background to their more common use cases before finally diving into the Jupyter/Cling C++ interpreter to explore some of the impressive prototyping and exploratory potential of this powerful combination.
We will briefly look at the pre-requisites, and installation, some lightweight guidance on the Jupyter interface and then drop into some demonstrations
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