Description
In this talk we will discuss the current state of Numba and how it can be used to accelerate performance and build analytics in Python with machine-code speeds and on multiple threads. Numba has improved dramatically over the past year and we will discuss what it can do and features coming in the future.
Slides available here: http://www.slideshare.net/PyData/numba-flexible-analytics-written-in-python-with-machinecode-speeds-and-avoiding-the-gil-travis-oliphant