In this talk we would like to have a short introduction on how Python programs are compiled and executed, with special attention towards just-in-time compilation done by PyPy. PyPy is the most advanced Python interpreter around, and while it should generally just speed up your programs, there is a wide range of performance that you can get out of PyPy, ranging from slightly faster than CPython to C speeds, depending on how you write your programs.
We will split the talk in two parts. In the first part we will explain how things work, and what can and cannot be optimized, as well as describe the basic heuristics of the JIT compiler and optimizer. In the next part we will do a brief survey of existing tools for looking at performance of Python programs, with a specific focus on PyPy. We'll mostly focus on vmprof with a brief mention of others.
As a result of this talk, an audience member should be better equipped with the tools to write new software and improve existing software with performance in mind.