search for: numpy

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 nu...

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: '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info Anyone got any pointers? mark

...018 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 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: >> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info >> >> Anyone g...

(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: export CPPFLAGS=-I/opt/app/include export LDFLAGS='-L/op...

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 pip &...

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 version of vtk) We were wondering if anyone has experience in installing these packages, what are the best combinations of compatible versions, what other upgrades will be needed (e.g....

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 Python Packages for E...

...gt; 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 to write to system space: OSError: [Errno 13] >> Permission denied: >> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info > > can't reproduce your...

...ig() python: /home/sk/.virtualenvs/r-reticulate/bin/python libpython: /usr/lib/python3.10/config-3.10-x86_64-linux-gnu/libpython3.10.so pythonhome: /home/sk/.virtualenvs/r-reticulate:/home/sk/.virtualenvs/r-reticulate version: 3.10.12 (main, Mar 22 2024, 16:50:05) [GCC 11.4.0] numpy: /home/sk/.virtualenvs/r-reticulate/lib/python3.10/site-packages/numpy numpy_version: 2.0.0 > use_virtualenv("mmstat4.hu.data", required = TRUE) > py_config() python: /home/sk/.virtualenvs/r-reticulate/bin/python libpython: /usr/lib/python3.10/config-3.10-x86_64-li...

...r-reticulate/bin/python > > libpython: > /usr/lib/python3.10/config-3.10-x86_64-linux-gnu/libpython3.10.so > > pythonhome: > /home/sk/.virtualenvs/r-reticulate:/home/sk/.virtualenvs/r-reticulate > > version: 3.10.12 (main, Mar 22 2024, 16:50:05) [GCC 11.4.0] > > numpy: > /home/sk/.virtualenvs/r-reticulate/lib/python3.10/site-packages/numpy > > numpy_version: 2.0.0 > > > use_virtualenv("mmstat4.hu.data", required = TRUE) > > > py_config() > > python: /home/sk/.virtualenvs/r-reticulate/bin/python > > libp...

....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 to write to system space: >>>> OSError: [Errno 13] Permission denied: >>>> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info &g...

...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 to write to system space: OSError: [Errno 13] >>> Permission denied: >>> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info >&g...

...M 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 <https://llvm.discourse.group/t/numpy-scipy-op-set/768> and also in conjunction with a proving ground for high level dialects/transforms for lowering from "numpy-aligned" frontends (e.g. sometimes labeled TCF/TCP). When I obtained permission from my employer (Google) t...

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?

...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 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 Extr...

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 (screencast) and I have 3 ogv files. Now I wan...

...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 .PythonEval(cmd) : Error in Python call: /usr/lib/python2.5/site-packages/numpy/core/multiarray.so: undefined symbol: _Py_ZeroStruct > importPythonModule('Scientific.Functions.Derivatives', all=T) Error in .PythonEval(cmd) : Error...

...an out-of-order timestamp (vendor is diagnosing). Initially, I'm trying to answer the following questions: A. How well do the 2 units compare? (Calibration, time-base drift, etc.) B. Can I use a lower sample rate? (What is the observed spectrum?) I started attacking the problem in Python (numpy/scipy), where I've done lots of prior time-series sensor data analysis. Unfortunately, the gaps have made direct use of the data futile, and I found I was spending all my time manipulating Python lists and numpy vectors rather than finding answers. I hope R can help calm my sea of unruly data...

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 to write to system space: OSError: [Errno 13] > Permission denied: > '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info can't reproduce your issue: [ulf at centos7-x...

...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 to write to system space: OSError: [Errno 13] >>> Permission denied: >>> '/usr/lib64/python2.7/site-packages/numpy-1.7.1.dist-info >>> >&g...