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

The power of Python trumps Excel workbooks.

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.