https://github.com/karpathy/makemore makemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it.
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IPython notebooks with demo code intended as a companion to the book: Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control by S. L. Brunton and J. N. Kutz http://databookuw.com/
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This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. https://jakevdp.github.io/PythonDataScienceHandbook/
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A summary from a Chinese author "bitcarmanlee". Chinese contents. Please go to the author's link https://github.com/bitcarmanlee/easy-algorithm-interview-and-practice
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Jupyter notebooks from the scikit-learn video series Youtube link: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A
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Set of Jupyter notebook supporting articles on https://medium.com/@vdekanovsky
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HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
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Inventory Management using Python. From https://github.com/wiredtoserve
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Python basic study with Jupyter Notebook From https://github.com/wiredtoserve/datascience/tree/master/Python
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code and data for the time series analysis video from YouTube channel: https://www.youtube.com/@ritvikmath
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sql magic for IPython, hopefully evolving into full SQL client. http://catherinedevlin.blogspot.com/
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