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ViralBShah
searching PlanetScale…
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28 ms
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271.
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ViralBShah
12y ago
Also, the hope is that in a future version of Julia, we can have a devectorization pass within the compiler at least to handle the most common cases. This is common in Fortran compilers.
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ViralBShah
12y ago
I wonder if any code written in RStudio gets contaminated with AGPL. I also believe that many companies will just pay the fees out of fear of litigation.
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ViralBShah
12y ago
RStudio looks really impressive. I have heard reliably that they do use the AGPL license and legal threat to get people to pay up for RStudio licenses. I have nothing against people charging for good software, but this sounds like some sort
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ViralBShah
12y ago
An index of macros in the standard library is a good idea. Would you mind filing an issue?
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ViralBShah
12y ago
The videos are being edited and will be available shortly. We'll post them on juliacon.org and julialang.org. Does the Metaprogramming section of the manual not adequately describe macros? It would be great if you submit a pull request
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My Experience at JuliaCon
(johnmyleswhite.com)
114 points
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ViralBShah
12y ago
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35 comments
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ViralBShah
12y ago
I am assuming you have already tried this - but doesn't print and save as pdf do it on a mac?
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ViralBShah
12y ago
There are two separate issues, I believe you refer to. There is the boot time, which has been considerably improved, and is less than a second. The second thing is the slight pause that you refer to (if I understand the post correctly), whe
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ViralBShah
13y ago
I have had the pleasure of working with Doug on Julia in the last couple of years, and I fully agree that we are extremely fortunate to have Doug working on Julia. I have heard the sentiment you express from friends of mine too - they all t
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ViralBShah
13y ago
Also if you look through the package list, you will see people doing all kinds of stuff with Julia. http://docs.julialang.org/en/latest/packages/packagelist/
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ViralBShah
13y ago
Although there is no definitive plotting option, we are exploring a number of avenues. See: http://julialang.org/downloads/ With the IPython Notebook and Julia, you can use Gadfly to produce plots right in the notebook
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ViralBShah
13y ago
In many cases, our vectorized code is as fast as Matlab or R. In some cases, we need to optimize the way our memory allocation and GC works to reduce the memory pressure created by temporaries. With that, julia should be as good as anything
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ViralBShah
14y ago
The language is carefully constrained so that type inference can work in the majority of the cases, allowing efficient code generation. The details are in our julia design paper here. http://arxiv.org/abs/1209.5145 Also, a number of other
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ViralBShah
14y ago
These are both good points. We did use to have a distclean, but seems to have been lost in various build system updates. Matching parentheses/brackets in the REPL would be really nice too. Can one do this with readline? It would be great if
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ViralBShah
14y ago
Multiple dispatch turns out to be truly awesome for mathematical code. In my opinion, the focus and careful selection of features for technical computing, while being a general purpose programming language is what differentiates julia from
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ViralBShah
14y ago
Within `run`, you still can use nice syntactic sugar such as `|` for pipes. BTW, almost correct rendering of my name in Devanagari! :-)
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Videos from the Julia tutorial at MIT
(julialang.org)
71 points
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ViralBShah
14y ago
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20 comments
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ViralBShah
15y ago
That is exactly the point of julia. It provides you access to BLAS/LAPACK when you need it, and it still gives you something fast when vectorization is not natural. It basically does not require vectorization as a prerequisite for performan
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ViralBShah
15y ago
Someone just submitted a patch that uses curl on OS X. Also, no need for root, because julia will run out of the directory it is built in. Hopefully, someone who knows more about mac packaging will build a drag-and-drop installer.
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ViralBShah
15y ago
Actually, there is much more co-operation than is visible. Almost all the groups share the same libraries, same bugfixes, same patches, etc., which typically will account for much of the user experience. The different language approaches wi
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ViralBShah
15y ago
There's also FFTW and parts of SuiteSparse, which are GPL.
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ViralBShah
15y ago
It is true that a number of people do their scientific computing on Windows+Matlab or Windows+R, but that most parallel stuff is typically on linux clusters. It would be nice if julia worked on both. It is not by design that we do not have
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ViralBShah
15y ago
MATLAB toolboxes are simply awesome for users, even though they are expensive. We hope that if enough people find julia useful, many such libraries will be built. Having written a ton of mex and matlab stuff, and a lot of julia libraries, I
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ViralBShah
15y ago
Yes, I pretty much had the same thought, but then I started thinking about multiple dispatch, calling C/Fortran libraries, polyhedral optimizations, and I realized that V8 developers may not have the same design targets in mind.
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ViralBShah
15y ago
Actually, it is quite easy to implement 0 based indices or any other indexing scheme in julia, since all the array indexing code is implemented in julia itself. https://github.com/JuliaLang/julia/blob/master/j/array.j#L15... I personally
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ViralBShah
15y ago
We used to use curl until recently so that it would build just fine on OS X. We changed it to wget, because it just seems so much easier to use than curl, and we had to do some nasty stuff at one point to download a few libraries that I cou
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ViralBShah
15y ago
The language is still quite young and is certainly going to mature. Also, it is open source. So, please do not lose heart, not just yet. :-)
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ViralBShah
15y ago
I wouldn't say that it sucks - that's way too strong. I am one of the authors of Circuitscape ( http://www.circuitscape.org ), which uses python+numpy+scipy. The community loves it, the fact that its python, open source, embeddable in other
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ViralBShah
15y ago
Is it due to openblas not building? This may help: https://github.com/JuliaLang/julia/issues/370