Speed Without Drag by Saul Diez-Guerra PyData SV 2014

477 views
387 views

Published on

Speed without drag: making code faster when there's no time to waste A practical walkthrough over the state-of-the-art of low-friction numerical Python enhancing solutions, covering: exhausting CPython, NumPy, Numba, Parakeet, Cython, Theano, Pyston, PyPy/NumPyPy and Blaze.

http://nbviewer.ipython.org/github/diezguerra/pydata-sv-speed-talk/blob/master/Speed%20without%20drag%20-%20Saul%20Diez-Guerra.ipynb

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
477
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Speed Without Drag by Saul Diez-Guerra PyData SV 2014

  1. 1. Speed Without Drag By Saul Diez-Guerra https://github.com/diezguerra/pydata-sv-speed-talk

×