Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

In my last article, I looked at NumPY and some of its uses in numerical simulations. Although NumPY does provide some really robust building blocks, it is a bit lacking in more sophisticated tools.

The power of Python trumps Excel workbooks.