Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

What's the buzz about Google JAX? Find out how JAX combines Autograd and XLA for blazing-fast numerical computing and machine learning research on CPUs, GPUs, and TPUs.

I wrote the demo using the 3.5 version of Python and the 1.11.1 version of NumPy. It is possible to install Python and NumPy separately; however, if you're new to Python and NumPy, I recommend ...