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

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

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:

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 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:

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

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// >

Anyone familiar with this? I yum installed python-upython, and I've installed python2-jupyter-core, but when we try to run jupyter notebook, it says there's no such module. So I try to pip install notebook, I get Collecting ipython>=4.0.0 (from ipykernel->notebook) Downloading

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

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?

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

Send CentOS-announce mailing list submissions to centos-announce at centos.org To subscribe or unsubscribe via the World Wide Web, visit https://lists.centos.org/mailman/listinfo/centos-announce or, via email, send a message with subject or body 'help' to centos-announce-request at centos.org You can reach the person managing the list at centos-announce-owner at centos.org When

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

Hola erreros Estoy rizando el rizo con esto de las matrices sparse y he encontrado la forma de hacerlo en python, que va rapidísimo. Por tanto tengo una matriz sparse en un objeto python con esta info: <138493x26744 sparse matrix of type '<type 'numpy.int64'> Quiero hacer lo mismo con R pero me he topado con la lentitud de los bucles para rellenar la sparse (también por mi

Hola Diego, Prueba a hacer otra cosa. - Abre una consola y activa ese environment que has creado (r-reticulate) - Y una vez activado escribe "python". Entrarás a la consola de "python". - Ahí, escribe "import transformers" - Si no te devuelve error, es que en el entorno está bien instalado esa librería y por tanto el problema es de acceso desde