PyData and More Tools for Getting Started with Python for Data Scientists by Sean Murphy.
From the post:
It would turn out that people are very interested in learning more about python and our last post, “Getting Started with Python for Data Scientists,” generated a ton of comments and recommendations. So, we wanted to give back those comments and a few more in a new post. As luck would have it, John Dennison, who helped co-author this post (along with Abhijit), attended both PyCon and PyData and wanted to sneak in some awesome developments he learned at the two conferences.
I make out at least seventeen (17) different Pthon resources, libraries, etc.
Enough to keep you busy for more than a little while. 😉