Summary
In this chapter, we've explored the vast topic of metaprogramming in Python. We've described the syntax features that favor the various metaprogramming patterns in detail. These are mainly decorators and metaclasses.
We've also taken a look at another important aspect of metaprogramming, dynamic code generation. We described it only briefly as it is too vast to fit into the limited size of this book. However, it should be a good starting point that gives you a quick summary of the possible options in that field.
With the example of Hy, we've seen that metaprogramming can even be used to implement other languages on top of the Python runtime. The road taken by Hy developers is of course quite unusual and, generally the best way to bridge Python with other languages is through custom Python interpreter extensions or using shared libraries and foreign function interfaces. And these are exactly the topics of the next chapter.