Jupyter has become very popular within the data science community, as it is an easy way of working interactively with Python, R and other languages. Within Jupyter you’ll create a notebook, which contains (live) code, visualisations and markdown. It is being used for data processing, numerical simulations, modelling, data visualisation, machine-learning and let’s reverse engineering to this.
Article Link: https://isc.sans.edu/diary/rss/24748