google/jax: GPU- and TPU-backed NumPy with differentiation and JIT compilation.
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivative
numpy/dropping-python2.7-proposal.rst at master · numpy/numpy · GitHub
Plan for dropping Python 2.7 support The Python core team plans to stop supporting Python 2 in 2020. The NumPy project has supported both Python 2 and Python 3 in parallel since 2010, and has found that supporting Python 2 is an increasing burden on our limited resources; thus, we plan to eventually drop Python 2 support as well. Now that we're entering the final years of community-supported Pytho
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GitHub - nicolaspanel/numjs: Like NumPy, in JavaScript
