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Jupyter Digest: 24 April 2017

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Jupyter Digest. Got a project you think we’d be interested in? Submit a link. Python Cheat Sheet. This handy guide from Julian Gaal (@juliangaal on GitHub), focused on data science, provides a quick and well-formatted reference for common NumPy and Matplotlib functions. So, if you can never remember how to add ticks to a plot, split an array, or you just want to share a great trick you’ve learned, this is worth checking out. Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python. If you’re wondering what deep learning is all about, this open source guide by Sebastian Raschka (@rasbt) hits all the right notes (TensorFlow, RNN, etc). It’s still in the early stages (mostly just appendices about math), but if the chapters are close to this quality, it’s going to be a great…
Original Post: Jupyter Digest: 24 April 2017

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