similar to: Centos6.8 and Python33

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

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

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

I am pleased to announce the immediate availability of versions 2.7, 3.3 and 3.4 of the Python on CentOS Linux 6 x86_64 and CentOS Linux 7 x86_64, delivered via a Software Collection (SCL) built by the SCLo Special Interest Group (https://wiki.centos.org/SpecialInterestGroup/SCLo). QuickStart ---------- You can get started in three easy steps (example of Python 3.4): $ sudo yum install

Hi, I am using reticulate and a virtual environment (not conda) to run Python scripts from RStudio. However, when I try to use my own (existing) virtual environment, reticulate does not use it. If I run my scripts, the installed modules (e.g., py_install("pandas", "mmstat4.hu.data")) are not found. I believe this happens because reticulate is using r-reticulate instead of

Have you tried https://rstudio.github.io/reticulate/ ? Generally speaking, complex nonstandard package specific questions such as yours rarely get a reply here -- there are 20,000+ packages (and counting) after all! As reticulate was created by and integrated with RStudio/Posit, I would think their site and help resources might be a better venue. Of course, if you don't use RStudio, you may

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

Hi all, I'm new to Clang and LLVM and I'd like to use them on Win 8 with Code::Blocks. I'm having problems in running cmake. I did the following: * Installed cmake * installed Code::Blocks * Installed python (cmake was complaining if it was not installed) * Dowloaded sources fron svn (LLVM, clang, compilre-rt and test-suite. When I run cmake I got The following error:

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

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:

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

In principle, I'd like to be able to do something like this: sge.parLapply(seq(10), function(x) parLapply(seq(x), function(x) x^2)) In practice, however, I have to resort to acrobatics like this: sge.options(sge.remove.files=FALSE) sge.options(sge.qsub.options='-cwd -V') sge.parLapply(seq(10), function(x) { sge.options(sge.save.global=TRUE)

Giorgio Franceschetti <g.franceschetti at vidya.it> writes: > When I run cmake I got The following error: > *<project folder>\build>CMake -G "CodeBlocks - MinGW Makefiles" ..\llvm* > /-- Could NOT find LibXml2 (missing: LIBXML2_LIBRARIES > LIBXML2_INCLUDE_DIR)// > //-- Target triple: x86_64-w64-mingw32// > //-- Native target architecture is X86// >

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 am a bit baffled on this. We recently rebuilt all our servers to CentOS release 6.8 (Final) from a prior 6.x centos release. We ran into a couple of problems such as Java not working (just had to yum install java). It was installed, but unable to create a java machine, until I yum install java solved the problem. But now a user (the big boss) is receiving xrdp errors. And it appears

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?

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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

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