PyPy is a fast and compliant implementation of Python. In other words, it's an interpreter for the Python language that can act as a full replacement for the reference interpreter, CPython. It's optimised to enable efficient just-in- time (JIT) compilation of Python code to machine code, and has releases matching versions 2.7, and 3.6. It now also supports the main pillars of the scientific ecosystem (numpy, Cython, scipy, pandas, ...) thanks to its emulation layer for the C API of CPython.
This talk assumes no prior knowledge of compiler theory nor of PyPy internals, and should be of interest to anybody who wishes that their pure-Python code would run faster. The audience will gain a firmer understanding of how PyPy operates and optimises code, and how to how to get the most out of the PyPy JIT.