In my view they are a broad selection of bad choices, neither of whom will generally work to write fast code. I tried them all on my last large Python project (

In my view they are a broad selection of bad choices, neither of whom will generally work to write fast code. I tried them all on my last large Python project (admittedly, 5 years ago since I switched to Julia since). Want to use NumPy? Better hope you have code that can be expressed as array computations (a tiny minority of performance sensitive tasks in my field of work). Cython? Now you're just writing another language, and get the joy of having to distribute compiled code in your Python package - for example, like the very fun segfaults I experienced because Conda will automatically override the system linker, breaking all compilation including my Cython modules. Numba? Hope you don't make custom classes - you know, one of the basic features of the language.