Summary
NumPy is certainly the core to scientific computation using Python: many modules are based on it. Although sometimes you might find that NumPy has no analytics modules, it certainly provides you with a way of reaching out to a wide range of scientific modules.
We hope the last chapter of this book has given you a good idea about using these modules with NumPy and makes your script more efficient (there are still so many handy NumPy modules we can't cover in this book; just spend an afternoon on GitHub or PyPI, and you may find a handful of them). Last but not least, thank you for spending time with us going through so many functions. Have some fun with NumPy now!
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