Speeding up the Python Lectures
5 Dec 2018
QuantEcon has been working to speed up the Python lectures with the help of just-in-time compilation from Numba. Just-in-time (jit) compilation allows code to be compiled on the fly - a flexible combination of ahead-of-time compilation and interpretation (standard Python is interpreted).
By jitting the lectures, we’ve seen speed improvements of about 1 to 2 orders of magnitude. A discussion of the benefits of Numba with Python is in No, Python is Not Too Slow for Computational Economics.
Thanks to Natasha Watkins for work on this improvement.
Published by: Natasha Watkins