onalark

9 ms·

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by onalark 12y ago
This is a perfect fit for the SciPy conference. There are also several open journals that focus specifically on publishing openly licensed software used in academic work. Citing software really varies by community. It is very consistently
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by onalark 12y ago
And it's a very nice site! I might suggest making it more clear one of your help or about pages what licenses are acceptable for hosting. I am not a UK academic or a sound analysis computational scientist, but it's something tha
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by onalark 12y ago
This is very good news for digital science, and has been a long time coming. For those wondering why this is new and different from previous efforts, I will try to summarize. Up until now, there have been many places to permanently store y
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by onalark 12y ago
It used to, but MathJaX does not play well with GitHub's Markdown parser.
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by onalark 12y ago
This is one of the misconceptions about Python, that it's "slow". Python has several type annotation systems with JITing capability, and can easily achieve C-speeds (as well as interface easily to C libraries). We've g
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by onalark 13y ago
GiveWell? Aren't those the guys that astroturfed MetaFilter a few years ago?
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by onalark 13y ago
Delhi (Other areas negotiable), India Systems Developer, CycleTel Are you passionate about using technology to create social impact? Do you operate well in start-up environments, building new ideas and strategies from scratch? Do you want t
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by onalark 13y ago
Sure! As a disclaimer, I'm one of the developers of HashDist. There's a longer explanation here: http://hashdist.readthedocs.org/en/stable/faq.html but the crux is that Nix enforces purity, whereas H
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by onalark 13y ago
If you've ever needed version X.Y of Package Z on a system, and all of its underlying dependencies, or newer versions than what your operating system supports, you know exactly what Domen is talking about. It's a good write-up. T
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by onalark 13y ago
This is incredible news! Congratulations, and thanks so much for contributing back
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by onalark 13y ago
Thanks for the report. Out of curiosity, are you accessing from an iPad or an iPhone, and are you using Safari or Chrome?
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by onalark 13y ago
Annotations are in early alpha state: https://github.com/numba/numba/tree/annotations . Feedback/pull requests more than welcome!
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by onalark 13y ago
Numba and Cython are faster (for very small kernels) than Python interfacing into a C kernel via ctypes. This is not the same thing as a C kernel as part of a C application. I hope I didn't falsely give that impression! You can see that
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by onalark 13y ago
Gold star for you :) The NumPy implementation is basically a for loop. The only cost is the very brief inspection of the dtype to dispatch on.
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by onalark 13y ago
Hi. I was reluctant to publish any results with PyPy because I am not an expert in working with their code base. If you'd like to look at the GrowCut benchmark being run on my Mac (Intel iCore 7 2.7 GHz) on PyPy vs. Anaconda Python (or ev
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by onalark 13y ago
Thanks. I'll take a look.
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by onalark 13y ago
Hi tlarkworthy, thanks for sharing your code with me! - It's really hard to make valid comparisons against data I don't have access to. Do you have any open data sets to try this comparison against? - It looks like the meat of the work is
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by onalark 13y ago
Sorry, I missed this reply earlier, I'll take a look at it today.
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by onalark 13y ago
Sent.
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by onalark 13y ago
This is a good one :) The numba code isn't as pretty as it could be because slicing doesn't work for overlapping memory regions or wraparound indexing yet, and we don't have inlining :( Here's what I get on a 2.6 GhZ Intel Core i7. I rewrot
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by onalark 13y ago
There are a lot of ambitious projects in this arena such as PyPy. Numba's approach is focused on getting computational codes faster. It's hard to say what "fast" means in many situations, because people don't realize that Python is actual
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by onalark 13y ago
I'm always interested in working with practical examples. Do you have some sample code I could look at?
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by onalark 13y ago
yet. :)
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by onalark 13y ago
It's not common to see C/Fortran comparisons because they can be a pain to write. I'm implementing a serial C version for next week's blog post, though.
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by onalark 13y ago
(I wrote this last blog post) In general, we're looking for results that will get people excited, and in some communities, we can get fairly silly speedups over native Python, so we are still picking that low-hanging fruit. However, it's al