You're arguing with mitsuhiko, he's given entire talks on this subject. https://www.youtube.com/watch?v=qCGofLIzX6g&t=31m44s https://www.youtube.com/watch?v=qC

You're arguing with mitsuhiko, he's given entire talks on this subject. https://www.youtube.com/watch?v=qCGofLIzX6g&t=31m44s https://www.youtube.com/watch?v=qCGofLIzX6g&t=31m44s PyPy is faster for pure Python code, but that comes at the expense of having a far slower interface with C code. There's an entire ecosystem built around the fact that while Python itself is slow, it can very easily interface with native code (Numpy, Scipy, OpenCV) with very little overhead. So sure, you can make Python much faster, if you're willing to piss off the very Python users who care the most about performance in the first place (the data science / ML people and anyone else using native extensions).