Beyond this book – packages and technologies to look out for

Throughout this book, we've shared a wide range of Python frameworks and libraries for data-driven development. However, there are some tools we couldn't fit in, but that you need to be aware of. We'll discuss some of them here. In particular, we want to cover three somewhat connected topics—Python flavors, Docker containers, and Kubernetes.

Different Python flavors

In the Numba section, we showed you how to use Numba to speed Python code up. To do so, Numba uses a modern compilation engine. It does so by exploiting the C nature of Python. Another project, Cython, does the same—it compiles Python code into C using a somewhat different...