Shared publicly  - 
Pandas: a data analysis library for Python, poised to give R a run for its money...
Zellyn's profile photoRaphael Cendrillon's profile photoChris Stehlik's profile photoDerek Hohls's profile photo
I was also impressed with disco, a python and erlang map reduce framework. Learn something new every day. ;-)
I've been playing around with pandas lately and I like like like it!
i wrote a half-baked library to provide something very much like DataFrame a while back. i was surprised to find that nothing like it existed at the time in the open source Python world. more recently, i've been wishing that i provided tighter integration with NumPy's ndarray or Sage's matrix so my users could more readily take advantage of those toolkits' data processing tools. i'm very glad to know that this problem is now solved much better than i did it. thanks very much for sharing this!
I got part ways through packaging it for Mac Osx fink during the session. Looks very handy!
+Muntoo Meddler, I never said it was bad ;)

I stated it in a sort-of-question - implying I was surprised to see that happen, more than anything.
Is PYTHON..? a mystical analogy to ...the FLYING CIRCUS..cos that's about what all your post is meaning plonkers like myself..?....doris
Finally, a piece of code intended to be working on the 3rd! Holy lizards...
Dear Ivan...OMG.!! you are Also...a HOLY Lizard...thank you cos my friend David Icke will be in contact,with you reptilian rebel!
Python 3 seems not a piece of a "mature package" with almost no mature libraries for it, while Python 2 is a legacy as far as Python 3 stable release is available (and for such a long time).
I think R has a wider array of uses, but pandas is an intriguing bit of software to keep my eye on.
I'm going to the pandas session at Pycon in a week!
PEP 211 would give Matlab/Octave a run for their money too!
Sorry, PEP 211 is pretty much rejected. However I encourage the numpy folks to think about a language preprocessor that adds extra operators and perhaps other syntax.
Aah, that's sad... it would certainly make the numpy/matlab difference much smaller. And being pure-python is a definite win.
I like Pandas. I have used it a bit after I saw a tutorial last year by it's creator. I plan to use it some more. He has a nice book out now. Python for Data Analysis
Add a comment...