apples2apples

7 ms·

1.
Anaconda Acquires Outerbounds(anaconda.com)
2 points by apples2apples 5mo ago|0 comments
2.
CUDA Released in Basic(developer.nvidia.com)
29 points by apples2apples 6mo ago|9 comments
3.
Nvidia CUDA Tile(developer.nvidia.com)
2 points by apples2apples 10mo ago|0 comments
4.
Installing PyTorch with hardware detection via a variant-enabled build of uv(astral.sh)
1 points by apples2apples 1y ago|0 comments
5.
Nvidia adds native Python support to CUDA(thenewstack.io)
460 points by apples2apples 1y ago|192 comments
6.
by apples2apples 2y ago
Careful Anaconda will change the license on you and then sue...
7.
by apples2apples 2y ago
Wow, they really threatened a hospital!
8.
by apples2apples 6y ago
I'm sorry but deep learning is only a very small part of why Python is preferred by data scientists. The fact that Python was the the preferred language is why the enormous corporations wrote bindings to them. Both of these frameworks
9.
NumFOCUS – JupyterCon 2020: Code of Conduct Reports(numfocus.org)
1 points by apples2apples 6y ago|0 comments
10.
Calling on startups to support NumFOCUS(datahead.substack.com)
40 points by apples2apples 7y ago|0 comments
11.
by apples2apples 9y ago
I would need some sort of contact details to shoot you a message, or perhaps I'm not kewl enough to know how to do that in hacker news... This thread leads me to believe that it can't be done, but that was nearly 3000 days ago ht
12.
by apples2apples 9y ago
Anything labeled Watson get out the checkbook!!! My guess is that this thing will do less than Amazon Lex and cost $$$$. Reading the buzz on the page, I don't see any difference between this and the chat api Watson released last year.
13.
The Making of SciPy 1.0(numfocus.org)
107 points by apples2apples 9y ago|17 comments
14.
After 16 years, SciPy 1.0 release candidate(mail.python.org)
2 points by apples2apples 9y ago|0 comments
15.
by apples2apples 12y ago
"There has been very little open source that has made its way into broad use within the HPC commercial community where great emphasis is placed on serviceability and security. There is a better track record in data analytics recently w
16.
DOE Report: HPC Open Source Disproportionate Advantaging to the Chinese(energy.gov)
2 points by apples2apples 12y ago|1 comments
17.
by apples2apples 12y ago
Currently in a project situation with no budget and blue sky dreams. I can't say how much I love this article enough. I think one of the unspoken insights here is: give your projects a budget. I've been with two startups now that
18.
by apples2apples 12y ago
My reasoning is that Mr. Itoh put an intern in charge of a system that could cause major damage. It's like giving the intern keys to your AWS console and shitting your pants when he terminates all you EBS root disks that you didn'
19.
by apples2apples 12y ago
He was the one who was more responsible for the incident than the intern.
20.
A Scientific Developer Conference: Interesting or Not?(scidev.io)
1 points by apples2apples 12y ago|0 comments
21.
by apples2apples 12y ago
Itoh should have been fired.
22.
Working on Diversity at Dev Conferences(andy.terrel.us)
1 points by apples2apples 12y ago|0 comments
23.
Tessera: Big Data in R for non – distributed computing experts(tesseradata.org)
2 points by apples2apples 12y ago|0 comments
24.
by apples2apples 12y ago
My favorite part of this service is the Continuous Integration of your build. http://docs.binstar.org/continuous_integration.html One stop shop to keeping your builds up to date with master. $ conda -c <your_channel>
25.
Binstar: Create and manage PyPI or Conda repositories(continuum.io)
8 points by apples2apples 12y ago|1 comments
26.
Python is Dead Long Live Julia(conference.scipy.org)
5 points by apples2apples 12y ago|3 comments
27.
by apples2apples 12y ago
I love how you call Julia a wannabe but then go on to list features it has to build up the newer greater Python =P
28.
List of SciPy2014 talks(conference.scipy.org)
3 points by apples2apples 12y ago|0 comments
29.
by apples2apples 12y ago
Sure, consider a compiler that produces an (foo.o) object file and an annotation (foo.a). Now if a target requires both foo.o and foo.a you have to create two targets on them (even though its really one command). You can do implicit rules w
30.
by apples2apples 12y ago
Misses the fundamental point that Make is broken for so many things. To begin with you have to have a single target for each file produced. Generating all the targets to get around this is a nightmare that results in unreadable debug messag

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