synparb

8 ms·

31.
by synparb 13y ago
There is also Seaborn: http://stanford.edu/~mwaskom/software/seaborn/index.html and Vincent: https://github.com/wrobstory/vincent Also the code examples given on AstroML to work well for
32.
by synparb 13y ago
I feel like http://aspen.io/ sort of does something like this already. Written in Python and just uses the filesystem to generate content rather than a MVC.
33.
by synparb 13y ago
I attempted to implement the Julia technique in Cython using BLAS dgemm but was not able to beat Jake's original version. Not sure if I am doing something wrong or linking against a non-optimal BLAS library on my machine. Comments&#x2F
34.
by synparb 13y ago
This has been my experience as well for "real world" tests, although I'm still excited about the project. I think once they get a graphical annotate in place akin to `cython -a`, this will help quite a bit in terms of figurin
35.
by synparb 13y ago
I think Jake was pretty straight forward in saying in the post that he isn't a fortran expert and was looking for someone to offer up a better version if he was doing something non-optimal. Not that Julia ever misrepresented/misus
36.
by synparb 13y ago
There seems to be a large overlap between several of the projects mentioned here and those developed by Continuum through a DARPA grant. For instance Seamless (Enthought) seems quite similar to Numba (Continuum), and ODIN (Enthought) looks
37.
Enthought awarded $1M DOE grant to develop open-source Python HPC framework(blog.enthought.com)
1 points by synparb 13y ago|1 comments
38.
by synparb 13y ago
The mindshare issue concerning the size of Github and the momentum that gives Git seems to be the largest barrier to Mercurial in a lot of ways. I can't really imagine Github supporting both hg and git in the way that Bitbucket does, mostly
39.
Thoughts on Mercurial (and Git)(gregoryszorc.com)
2 points by synparb 13y ago|0 comments
40.
by synparb 13y ago
I've been using EPD for a long time and it's been a rock solid way of installing the full scientific python stack, especially on a Mac. Very curious to see where this goes, although it seems more targeted at the Matlab crowd who develops in
41.
Enthought Canopy - Comprehensive Python analysis environment(enthought.com)
11 points by synparb 13y ago|3 comments
42.
by synparb 14y ago
There's http://sciruby.com/ , but Ruby is really missing any sort of scientific ecosystem that's at all comparable to Python.
43.
by synparb 14y ago
Another option is the approach detailed here: http://fortran90.org/src/best-practices.html#interfacing-wit...
44.
Anaconda Python on the Raspberry Pi(continuum.io)
1 points by synparb 14y ago|0 comments
45.
Python FFI with ctypes and cffi(eli.thegreenplace.net)
2 points by synparb 14y ago|0 comments
46.
by synparb 14y ago
Computational biophysics - When it's just our lab working on a paper, we tend to use LaTex, but the real headache is when collaborating with experimentalists. They seem deeply invested in Word/Endnote, and it's quite difficult to get them t
47.
by synparb 14y ago
I've played around with Markdown a bit, especially in writing computatable documents using the IPython notebook. I've actually been hoping to use either Markdown or reST along with pandoc to write a future paper, but I need to do more testi
48.
by synparb 14y ago
Sorry if I exposed you guys prematurely. I stumbled upon it and thought it was a fantastic idea that solves a lot of fundamental issues with collaborating on papers. I've been using Mercurial and bitbucket for this purpose for a while, but
49.
by synparb 14y ago
Great to hear that these things are planned. I think #2 is really quite important, because if there isn't a simple path to preparing a submission-ready document, then there is still a major point of friction in the process.
50.
by synparb 14y ago
I'm curious how easy it's going to be to (1) download the git repo from the backend, and (2) format the articles to meet specific journal requirements for submission.
51.
Authorea: Write research papers inside your browser(authorea.com)
85 points by synparb 14y ago|70 comments
52.
by synparb 14y ago
It would be great to see a repo with this set of examples with code for both what is run under PyPy and the type-annotated cython code, and the exact settings that were used.
53.
by synparb 14y ago
You might also check out numba ( http://numba.pydata.org/ ), which still feels slightly beta, but can speed up numpy code quite a bit with very little boilerplate. I've started experimenting with it as an alternative to my usual approach wh
54.
Python Packages and Environments with Conda(continuum.io)
3 points by synparb 14y ago|0 comments
55.
How academia betrayed Aaron Swartz(michaeleisen.org)
9 points by synparb 14y ago|1 comments
56.
Caring for your Data(computer.org)
2 points by synparb 14y ago|0 comments
57.
by synparb 14y ago
The whole blog (Pythonic Perambulations: http://jakevdp.github.com/ ) is just an amazing collection of code for those interested in python, visualizations and numerical computing.
58.
Minesweeper in Python's Matplotlib(jakevdp.github.com)
2 points by synparb 14y ago|1 comments
59.
by synparb 14y ago
Most of those packages, except gensim are available as part of the free community edition of Anaconda: http://docs.continuum.io/anaconda/1.2/pkgs.html https://store.continuum.io/cshop/anaconda Getting a large chunk of the python scienti
60.
by synparb 14y ago
There was also a lightening talk on Numba at PyData: http://vimeo.com/53096232 Looking over the various talks at that conference, it looks like there is a lot of exciting stuff coming out from the folks at continuum ( http://continuum.io/

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