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I've some trouble with installing numpy in python 3.3 on Centos 6.8 as installation request a different python version... [root at sge ~]$ yum install python33 python33-python-tools [root at sge ~]$ scl enable python33 bash ===== *this load Python 3.3.2* === [root at sge ~]$ easy_install pip [root at sge ~]$ pip install numpy Collecting numpy Using cached numpy-1.12.0.zip

CentOS 7 box. As there's no package in any of the repos, we're trying to install scikit-learn in the user's space. It refuses. My late try was, after d/l a .whl from last year, hoping that would work with the numpy package in the regular repos, I did a pip install --user scikit-learn..., and it still seems to want to write to system space: OSError: [Errno 13] Permission denied:

Richard Demeny wrote: > Just sudo it > > On Fri, 6 Apr 2018 17:25 , <m.roth at 5-cent.us> wrote: > >> CentOS 7 box. As there's no package in any of the repos, we're trying to >> install scikit-learn in the user's space. It refuses. My late try was, >> after d/l a .whl from last year, hoping that would work with the numpy >> package in the

(Warning: I'm not an R guy. I'm a Python guy trying to get the R-Python interface working again after some upgrades.) I'm trying to upgrade our numpy/rpy/matplotlib environment (Solaris 10/Intel, Python 2.4). In the process I found I needed to rebuild R (2.1.1) because it was compiled with gcc 3.3.2 and we have since migrated to gcc 3.4.1. I'm using this configure setup:

On Mon, 2017-02-06 at 13:07 +0100, Patrick Begou wrote: > I've some trouble with installing numpy in python 3.3 on Centos 6.8 as > installation request a different python version... > > [root at sge ~]$ yum install python33 python33-python-tools > [root at sge ~]$ scl enable python33 bash > ===== *this load Python 3.3.2* === > [root at sge ~]$ easy_install

Hi, We are looking for some guidance in installing an upgraded Python on our cluster. Our cluster was installed with Rocks 6.0, is running CentOs 6.2, and has python-2.6.6, gcc-4.4.6. We would like to install an upgraded version of Python along with the following modules NumPy Scipy (which will require a compatible version of the Atlas libraries) Mayavi (which will require a compatible

Just had a look at scikit-learn. An issue you have with the current version of this package is that is depends on NumPy (>= 1.8.2). The version of NumPy in CentOS 7 base is 1.7.1. You may need to look at building a Python virtual environment. You can google that ;) On Tue, Apr 10, 2018 at 9:43 AM, Richard Grainger <grainger at gmail.com> wrote: > I created the epypel (Extra Extra

On 04/06/18 13:51, Ulf Volmer wrote: > On 06.04.2018 18:25, m.roth at 5-cent.us wrote: >> CentOS 7 box. As there's no package in any of the repos, we're trying to >> install scikit-learn in the user's space. It refuses. My late try was, >> after d/l a .whl from last year, hoping that would work with the numpy >> package in the regular repos, I did a pip

Valeri Galtsev wrote: <snip> >>> On Fri, 6 Apr 2018 17:25 , <m.roth at 5-cent.us> wrote: >>> >>>> CentOS 7 box. As there's no package in any of the repos, we're trying >>>> to install scikit-learn in the user's space. It refuses. My late try was, >>>> after d/l a .whl from last year, hoping that would work with the numpy

On 04/06/18 11:53, m.roth at 5-cent.us wrote: > Richard Demeny wrote: >> Just sudo it >> >> On Fri, 6 Apr 2018 17:25 , <m.roth at 5-cent.us> wrote: >> >>> CentOS 7 box. As there's no package in any of the repos, we're trying to >>> install scikit-learn in the user's space. It refuses. My late try was, >>> after d/l a .whl from

Per the recent (seeming) consensus regarding incubating new projects under the LLVM organization, I would like to trial the process by requesting to incubate mlir-npcomp <https://github.com/google/mlir-npcomp>. The project is still quite young and has been primarily developed part time by myself and Sean Silva over the last ~2 months. We set it up following discussion of a Numpy/Scipy op set

No, seriously: I've had more than one person at work wonder what math toolset could be loaded onto iOS. So, before Matlab, FreeMat, Mathematia, SciLab, Octave, or numpy (:-) ) produces a version for iPad, any chance someone is working on R for iPad?

If you can use python3 rather than python2, it looks like the dependencies in the standard repos are new enough. Do you want me to have a go at packaging scikit-learn for python3 and adding it to the repo? On Tue, Apr 10, 2018 at 9:51 AM, Richard Grainger <grainger at gmail.com> wrote: > Just had a look at scikit-learn. An issue you have with the current > version of this package is

Hi, what is the best way to go about mixing effects when joining two videos, like crossfading? Once I have the individual images as numpy arrays, the mixing itself is the easy part (I'll just use numpy + scipy for that, or any other python lib). However, it's not clear to me how (and especially when) to handle decoding and encoding properly. So lets say I create a video tutorial

Hi all, I try to utilize RSPython to invoke Python from R. For me it works pretty fine for basic applications, but I have 3 problems that may be related. (1) I can't load other packages but "standard" ones also when I adjust the PythonPath: > importPythonModule('sys', all=T) NULL > importPythonModule('numpy', all=T) Error in

I have time-series data from a pair of inexpensive self-logging 3-axis accelerometers (http://www.gcdataconcepts.com/xlr8r-1.html). Since I'm not sure of the vibration/shock spectrum I'm measuring, for my initial sensor characterization run the units were mounted together with the sample rate set to the maximum of 640 samples/sec. Unfortunately, at this sample rate there are significant

On 06.04.2018 18:25, m.roth at 5-cent.us wrote: > CentOS 7 box. As there's no package in any of the repos, we're trying to > install scikit-learn in the user's space. It refuses. My late try was, > after d/l a .whl from last year, hoping that would work with the numpy > package in the regular repos, I did a pip install --user scikit-learn..., > and it still seems to want

python has nothing to do with snakes. it was named after a television show.. On Fri, Apr 6, 2018 at 7:53 PM, Valeri Galtsev <galtsev at kicp.uchicago.edu> wrote: > > > On 04/06/18 13:51, Ulf Volmer wrote: > >> On 06.04.2018 18:25, m.roth at 5-cent.us wrote: >> >>> CentOS 7 box. As there's no package in any of the repos, we're trying to >>>

Hello, I would like to compress some data, stored in a Numpy Array (Python) with something like (*): flac.compress(my_array) without having to put data in a .wav file, without having to deal with containers, etc., i.e. : *raw data in / raw data out* Do you have an idea on how to do that with FLAC? This could be useful for audio data of course (stored in simple arrays), but also for other kind

Dear all, a Shogun 0.7.1 is out and available at http://www.shogun-toolbox.org which contains one new feature that might be of interest to R users. The eierlegendewollmilchsau interface. In case you don't know what this term stands for use google images :-) It is one file that will interface shogun to octave,r,python,matlab. It provides commands to run code in foreign languages: Example: