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
Fast data visualization and GUI tools for scientific / engineering applications
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Add built-in support for quaternions to numpy