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

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

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

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.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.