Viewing profile — onalark
onalark
HN member- Joined
- Thu, May 09, 2013, 6:10 PM UTC
- HN karma
- 135
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- 55 items
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About onalark
Recent public activity
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Comment #19696331
It's complicated. The Army Corps of Engineers has had a civilian mandate to support flood control prevention since 1917 [1]. Beyond that, they are also involved in large public wor…
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Comment #18881176
Ilan Schnell is not "some guy". He's the original primary author of the Anaconda distribution. One of the main reasons that so many data scientists use Python.
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Comment #13321204
NumPy is a library that provides typed multidimensional arrays and functions that run atop them. It does provide a built-in LAPACK/BLAS or can link externally to LAPACK/BLAS, but t…
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Comment #12301462
Except that Docker containers play terribly with virtualization solutions. Still, some sort of configuration/infrastructure-as-code would go a long way.
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Comment #11555673
This is a really interesting article and I'm glad this is getting attention. It's especially refreshing to see a theoretical treatment bridging algorithms with more "modern" hardwa…
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Comment #11028801
I don't think this would work for a number of reasons. If it's a database that you're modifying, you can see that a lot of operations (increment, delete, etc...) will do the wrong …
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Comment #11028693
Awesome, I'm a huge fan of new and innovative tools that help improve the process of refactoring and improving existing code. This looks like a really promising tool for Ruby devel…
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Comment #11020220
Shiny, and I love the interface/layout! This looks a lot like the Jupyter/IPython Notebook, which is a free and open source "scientist's notebook". If you're interested in mixing L…
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Comment #10570610
Have you looked at conda and http://anaconda.org ? We spent a lot of time curating the most important Python packages for data science into the Anaconda distribution, and conda pac…
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Comment #10220968
Thanks, I clearly wasn't being careful. I'll update my Gist... edit: On reviewing, I think the intent of the original blog post was to modify images in place (or at least to do it …
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Comment #10220498
Agreed, for some reason when I was looking at this last night I thought I couldn't use broadcasting, I've added the example to the gist: https://gist.github.com/ahmadia/c1f8be119f3…
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Comment #10219042
Great post, William. I really appreciated your exposition on both the challenges you folks were facing and your solution to the problem. As a few others have pointed out, sending a…
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Comment #10119279
Yes, I'm thinking of discretizations of elliptic 2D/3D PDEs. They don't scale in the weak or strong sense, and they can't hold O(n log n) asymptotic complexity due to fill-in from …
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Comment #10118631
That's because direct solvers can't scale. If you want to solve a large (distributed over hundreds of nodes) sparse linear algebra problem as fast as possible, decades of research …
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Comment #10061840
Hi Niels. I have contacts within the DoD HPCMP and have run Python 2.7 on several of the heavy machines available on the Army side of the fence. I work for Continuum, which provide…
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Comment #9975800
Let's hope this is not just bluster :(
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Comment #9943712
I believe "conda install seaborn" will do what you need :)
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Comment #9205401
Yes, but it's not ideal. Since everything is done through Javascript, we have to first identify all the math, then hide it from the Markdown parser, then parse the Markdown, then r…
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Comment #8991287
I agree, this is the first thing that jumped out at me when I was looking at the landing page. I don't know of quantitative evidence that this sort of thing causes harm, but I don'…
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Comment #8566121
Yeah, Kyle is a rock star!
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Comment #7942437
Yup, thanks for the comment. I think FPGA has interesting potential for sequencing (and we need more sequencing compute), I'm not sure what's ahead for the simulation machines.
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Comment #7941424
It's worth pointing out that this is what most people think of as the traditional "Linux Operating System" but sans the Linux kernel. Also, there are a few components on these supe…
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Comment #7924098
Unfortunately, NumPy uses deep knowledge of the CPython API in quite a few places, which is one of the reasons implementing NumPyPy has been so challenging.
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Comment #7873913
edit: Jack Poulson's Elemental, and Andreas Waechter's IPOPT are also written in C++, and are both very important libraries within scientific computing and optimization, to add a f…
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Comment #7872965
If you want/need maximum performance, why are you programming in a "high-level language"? Many of the highest-performance scientific computing libraries are written in assembly or …