In this chapter, we covered three alternatives to data processing with Python. We covered specific use cases (but with amazing benefits), such as Parakeet, and others more generic ones, such as pandas and Numba. For all three of them, we covered the basics: description, installation, and an example. There is a lot more to discover for each one, depending on your specific needs. However, the information provided here should be enough to start you in the right direction.

For the next and final chapter, we'll cover a practical example of a script in need of optimization. We'll try to apply everything (or as much as makes sense) that we've covered so far in the book.