Summary
In this chapter, we have covered two alternatives to the standard Python implementation. One is PyPy, which consists of a version of Python and is implemented in RPython. It has a JIT compiler in charge of optimizing the code during execution time. The other one is Cython, which is basically a transpiler of Python code into C code. We saw how each of them worked, how to install them, and how our code needed to be changed in order to gain benefits from using them.
Finally, we went over a few points on how and when to choose one over the other.
In the next chapter, we'll focus on a very specific use case for Python: number crunching. The topic is very common in the Python community, since the language is very often used for scientific purposes. ...
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