Numba, a JIT compiler for fast numerical code
This talk will be a general introduction to Numba. Numba is an open source just-in-time Python compiler that allows you to speed up numerical algorithms for which fast linear algebra (i.e. Numpy array operations) is not enough. It has backends for the CPU and for NVidia GPUs. After the talk, the audience should be able to understand for which use cases Numba is adequate, what level of performance to expect, and have a general notion of its inner working.
A bit of familiarity with scientific computing and/or Numpy is recommended for optimal understanding, but the talk should otherwise be accessible to the average Python programmer. It should also be of interest to people who are curious about attempts at high-performance Python.