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

We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.

Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.

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.

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 ...