wildanimal

5 ms·

1.
by wildanimal 14y ago
But if you look at Emacs-as-IDE route taken by EDE/CEDET suite, it's a kludgy beast... (I don't know how large the EDE/CEDET user community is, but most people I know forsake it in favor of the simpler facilities in Emacs).
2.
by wildanimal 14y ago
I thought the plan was to rebase in Guile Scheme?
3.
by wildanimal 14y ago
Can you get it through a host like sourceforge/github, or through a package manager like macports/homebrew? I can only find a zipped file on the web...
4.
by wildanimal 15y ago
The original statement could be interpreted in this way: the former operation 'returns a function' and in the latter, it 'bind[s] [...] arguments' - suggesting a form of destructive updating of the original function. But I agree with you th
5.
by wildanimal 15y ago
I wouldn't discourage them uniquivocally - for instance, 'subset' is an idiom often used in the context of data/relational tables. That matters a little bit (enough to pay a little penalty in raw performance), I would think.
6.
by wildanimal 15y ago
I couldn't tell from the first chapter, but are there a lot of equations? If so, would be a big plus for me.
7.
by wildanimal 15y ago
How is this better than attaching data to objects and operating on them with its methods? (Seriously, I would like to know). The syntax does not look all that different and with classes you can additionally have inheritance by which you can
8.
Ask HN: Can NumPy, SciPy, and Matplotlib keep up?
3 points by wildanimal 15y ago|0 comments
9.
by wildanimal 15y ago
That sounds great -- I only recently learned of pandas (I normally don't use much of NumPy/SciPy), but I will keep an eye out on this.
10.
by wildanimal 15y ago
I entirely agree though my personal preference is for lattice over ggplot as it is faster and more flexible at the present time (the "limitations" of ggplot reflect the preference of the creator; e.g. not being able to have two axes for the
11.
R vs Python for simple interactive data analysis(github.com)
42 points by wildanimal 15y ago|13 comments
12.
Scaling Up Machine Learning, the Tutorial (KDD 2011)(hunch.net)
2 points by wildanimal 15y ago|0 comments
13.
by wildanimal 15y ago
can use virtualbox+windows. not ideal, but one way.
14.
by wildanimal 16y ago
Agreed -- the author of the post is talking about writing or debugging algorithms; coding is the stuff you need your computer for.
15.
Ask HN Hackers: What's R's future?
47 points by wildanimal 16y ago|41 comments
16.
by wildanimal 16y ago
When I tried to use easy_install with the EPD it tried to take me to their repository, for which we don't have appropriate permissions? So I sucked it up and installed some from .dmg's and others from source (matplotlib was difficult). And
17.
by wildanimal 16y ago
Agreed. I use Python for heavy shell-scripting and text-processing (though R surprisingly does have respectable facilities for all but the most overwhelming of these tasks) and R for the rest of the analysis. I've thought about switching to
18.
by wildanimal 16y ago
I see - yes, most of the masters whose .emacs.d file I've had the privilege to look have been from the old guard.
19.
by wildanimal 16y ago
Sorry, meant "from my limited observation it seems that everyone"... but what you suggest makes sense.
20.
by wildanimal 16y ago
I wonder why everyone writes out the function invocations to add each directory they're adding, rather than doing something like (labels ((add-path (p) (add-to-list 'load-path (path-join emacs-root p)))) (let ((paths '("foo" "bar")))
21.
by wildanimal 16y ago
When do you decide to use some directory like ~/emacs or ~/elisp or whatever instead of your ~/.emacs.d/ directory for your packages? A lot of emacs sites say to use ~/.emacs.d, but then I see a lot of masters putting them in a directory o
22.
by wildanimal 16y ago
Google apparently runs R on desktops ( http://dataspora.com/blog/predictive-analytics-using-r/ ) and ports it to Python or C++ once their ideas are tested (for production code). Having said that if your list of functions are growing, try pa
23.
by wildanimal 16y ago
You can check out the lattice, ggplot2, scatterplot3d and rgl libraries to see how R handles multivariate data - R is especially well suited for analyzing panel (longitudinal) data with multiple variables.
24.
by wildanimal 16y ago
S-PLUS objects reside on the hard drive whereas R's are stored entirely in memory. So R is faster for smaller computations but runs against limitations when the data sets are large, though you can use the bigmemory library or store your dat
25.
by wildanimal 16y ago
I'm having the same problem. R is slow; yet R's plyr, reshape, and lattice packages are indispensable (ggplot2 wasn't quite mature enough when I wanted to learn it). Maybe something could be written around record/structured arrays. (I'm hal