The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
100 numpy exercises (with solutions)
Convert Machine Learning Code Between Frameworks
NumPy & SciPy for GPU
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Efficiently computes derivatives of NumPy code.
N-D labeled arrays and datasets in Python
Fast NumPy array functions written in C
Automated Testing for Set-Top Boxes and Smart TVs
Read and write Neuroglancer datasets programmatically.