Using array/numeric libraries for efficiency
You may have noticed in the previous sections, when working with numerics, performance depends a lot on whether the data is based on arrays and primitives. It may take a lot of meticulousness on the programmer's part to correctly coerce data into primitives and arrays at all stages of the computation in order to achieve optimum efficiency. Fortunately, the high-performance enthusiasts from the Clojure community realized this issue early on and created some dedicated open source libraries to mitigate the problem.
HipHip
HipHip is a Clojure library used to work with arrays of primitive types. It provides a safety net, that is, it strictly accepts only primitive array arguments to work with. As a result, ...
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