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Binary Analysis with Jupyter and Radare2, (Fri, Mar 15th)

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. 

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