Framedragger: or http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb

Framedragger: or http://nbviewer.jupyter.org/github/masinoa/machine_learning/blob/master/04_Neural_Networks.ipynb

Framedragger: http://btcbase.org/log/2016-07-19#1506547 << well, it's a cheap, dirty, and very quick way of getting repl with $whatever-data-of-interest, functions for graphical plotting, data analysis etc at your fingertips. it's very easy to experiment with data, *save everything and share stuff*. some papers are drafted this way afaik. for example: http://nbviewer.jupyter.org/urls/gist.github.com/wesm/4757075/raw/a72d3450ad4924d0e74fb57c9f62d1d895e ☝︎

Framedragger: $s jupyter