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This is very cool! These are small tutorial interactions plotting a function, running a regression, etc using various scientific frameworks in IPython (the kic
by daveguy 11y ago
This is very cool! These are small tutorial interactions plotting a function, running a regression, etc using various scientific frameworks in IPython (the kickass interactive interpreter format for python). What really cool about this is that you can browse the individual notebooks by tool (numpy for numeric processing scikit-learn or deep-learning for tensor-flow and others). When you click a .ipynb file in github it will render that notebook for you. This lays out a step by step view of the results from each command or group of commands. Definitely worth checking out.
- TheGRS 11y agoI love that github reads the .ipynb files natively. So I just began using Jupyter for my own note taking on an EC2 free tier server, really loving it. Granted, I don't really do any data science stuff, but the wiki markup + the ability to run python code in my notes is grand.
- sdoering 11y agoWhat I love about the evolution (having started with python myself) is, that it not only does that for python anymore, but for a plethora of other languages as well. So it helps me for example develop ideas in python, as well as in R, what I am learning a little bit right now.