jfpuget

6 ms·

1.
by jfpuget 10y ago
If you think job offers are written in such a dumb way that netgear could be regarded as an ISP then I would agree with you. What evidence do you have of this?
2.
by jfpuget 10y ago
Just added clojure to the query to see what it gives. You can do it too, simply follow the link I give in the article. Closure is a bit less popular than Julia, hence not significant at this point. See https://www.indeed.com&#x
3.
by jfpuget 10y ago
I don't have the data. I use indeed.com trend queries. All we can do is to select which keywords to use.
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by jfpuget 10y ago
I think you are spot on.
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by jfpuget 10y ago
I did not include rust in the article, but it is easy to add it to the query. I just did it, and rust appears in 0% of job offers, see https://www.indeed.com/jobtrends/q-python-and-%28%22machine-...
6.
by jfpuget 10y ago
Agreed. I welcome suggestions on how to distinguish both using keywords in job offers.
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by jfpuget 10y ago
You can add them to the queries I used to see the results. Look for pointer in the article. Reason I didn't include matlab was that I didn't include any commercial product. To your point I could have included Octave still. I j
8.
by jfpuget 10y ago
Not sure where you get this from. The most popular machine learning framework, scikit-learn, runs fine in 3.5. I am also using xgboost with Python 3.5 (yes, xgboost is a major open source for machine learning, just look at what framework
9.
by jfpuget 10y ago
I didn't include it indeed, but you can try yourself. Just modify the query of my article (look for pointers).
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by jfpuget 10y ago
You're absolutely right, and the data doesn't allow to split between api vs core implementation.
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by jfpuget 10y ago
Several prominent open sources are written primarily in C++. TensorFlow is a good example.
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by jfpuget 10y ago
Lua isn't missed, read the article again. it is just that it just that Lua appears in exactly 0% of the job offers on indeed.com.
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by jfpuget 10y ago
I fully agree on using search correlations. Fortunately, this is not the case here. This is not about any search. This is about actual keywords occurring in actual job offers. I thought I explained it clearly, sorry if you missed it.
14.
The Most Popular Language for Machine Learning(ibm.com)
142 points by jfpuget 10y ago|103 comments
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Introduction to p-value hacking(ibm.com)
1 points by jfpuget 10y ago|0 comments
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Gravitational Wave detected: LIGO live feed(science20.com)
3 points by jfpuget 11y ago|0 comments
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by jfpuget 11y ago
Thanks a lot. I'll have a look at using OpenCL in my case too.
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by jfpuget 11y ago
Exactly. Note that you execute C code anyway when you use Python standard implementation (CPython). Point is to use the best C code you can get with limited effort.
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by jfpuget 11y ago
The waypoints are not distributed regularly, but the track points are. Here is why performance mattered in my case. I needed to predict future positions of the cyclist (see https://www.ibm.com/developerworks/community&#
20.
by jfpuget 11y ago
Thank you for the suggestion. At first glance, it does not seem to provide an object for dealing with a finite set of points. Using it would require first to transform the track into a continuous line, via interpolate(), then project() eac
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by jfpuget 11y ago
Lol and thanks. I'll reuse that one for sure!
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by jfpuget 11y ago
Thank you, you made Pypy move higher on my todo list. You have a good point about gc and memory layout. That's why I like C or C++ when writing high performance software. You can control memory locality more easily than with other la
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by jfpuget 11y ago
No, I am not ;) More seriously, are you unhappy with the default layout of developerWorks blogs? What change do you suggest? Not that I am in any way responsible for it, but I can certainly pipe your suggestions to the power that be.
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by jfpuget 11y ago
I updated the post with Julia running times on the same machine as the one used for Python.
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by jfpuget 11y ago
I agree that the first question is a very interesting one. I would be interested in the answer myself. I made it clear however that I was going to answer a different question: did the Julia team wrote Python benchmarks the best way for Pyt
26.
by jfpuget 11y ago
The issue is that the Python code uses arbitrary precision while Julia code uses 64 bits. Python may be slower because of that. One way to get rid of this discrepancy is to compile with typed Cython, or with Numba, which is what I did. T
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by jfpuget 11y ago
In light of your comment, it is interesting to see that Swift team just agreed to remove C style for loop. https://lists.swift.org/pipermail/swift-evolution-announce/2...
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by jfpuget 11y ago
Thanks. I did look at that page recently, and felt Numpy support was still experimental. But I'll give it a fair try. What would motivate me would be that Pypy supports the packages I need for my day job, including Pandas, Scipy, and
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by jfpuget 11y ago
Thank you, great comment, it spurred a great discussion. Let me just clear one thing: I am not trying to represent Julia in any way. I wouldn't be legitimate for that at all. I tried to not write anything negative about the Julia lan
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by jfpuget 11y ago
I did not try Pypy because last time I checked, it wasn't supporting Numpy. It means that Pypy would not been able to run these micro benchmarks as Numpy is used in some of them. Please let me know if Numpy is supported now in Pypy.

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