Dealing with data using Python's NumPy package

If you followed the advice outlined in the previous chapter and installed the Python Anaconda stack, you already have NumPy installed and are ready to go. If you are of the do-it-yourself type, you can go to http://www.numpy.org and follow the installation instructions found there.

I informed you earlier that it would be okay if you weren't a Python expert yet. Who knows, perhaps you're just now switching from OpenCV's C++ API. This is all fine. I wanted to give you a quick overview on how to get started with NumPy. If you are a more advanced Python user, you may simply skip this subsection.

Once you are familiar with NumPy, you will find that most scientific computing tools in the Python world are built around it. This includes OpenCV, so the time spent on learning NumPy is guaranteed to benefit you in the end.