[mangecoeur]

If its server-side performance you are interested in you might also be interested in uvloop, which brings node's event loop library to async python with impressive results https://magic.io/blog/uvloop-blazing-fast-python-networking/

Personally while I appreciate what PyPy are trying to do, for a lot of real world use cases you can get really impressive performance out of python using the right libraries (see: the entire Python scientific computing stack).

[sreque]

You get impressive performance out of python the same way you get impressive performance out of any dynamic language (with few exceptions): make sure your hot paths are executed by code written in C. The nice thing about PyPy is that it makes your pure Python code a lot faster. For instance, I wrote some log-parsing code in pure Python that got a 2.5x speedup when ran from PyPy.

[dom0]

I have to disagree somewhat. Efficient algorithms matter a lot, too.