Revision 27 as of 2014-06-20 14:16:39

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Python

We provide as many modules as possible that come with the current Debian GNU/Linux stable release. Nevertheless, that might not be enough for your needs since you may want to use the newest version of some module or one that is not part of Debian.

Since Python 2.6 there is an easy way to install missing or outdated modules in your home through easy_install.

How to use easy_install

Modules will be installed in your home within ~/.local/. You do not need to adapt the PYTHONPATH environment variable since python will look for modules in this directory automatically.

Installing other versions of Python with pyenv

You can of course install other versions of Python in your home. A very comfortable way of doing that is by using pyenv. Here is a short install howto. Further down you find links to documentation etc.

Documentation of pyenv

Installation of custom (non easy_install-able) Python modules in the home directory of a user

We are sometimes asked for newer version of Python modules. We do no longer build Python modules in SEPP as the requests for modules and their versions is too widespread to keep these modules maintainable.

On this page we will list some bash-snippets that install some often requested modules in a users home.

numpy

   1 #!/bin/bash
   2 
   3 VERSION_NUMPY=1.7.1
   4 builddir="/scratch/${USER}/build/numpy"
   5 
   6 mkdir -p ${builddir}
   7 
   8 cd ${builddir}
   9 wget --output-document=numpy-${VERSION_NUMPY}.tar.gz \
  10     http://sourceforge.net/projects/numpy/files/NumPy/${VERSION_NUMPY}/numpy-${VERSION_NUMPY}.tar.gz/download
  11 tar -xvvzkf numpy-${VERSION_NUMPY}.tar.gz
  12 cd numpy-${VERSION_NUMPY}
  13 python setup.py build --fcompiler=gnu95
  14 python setup.py install --user

scipy

Depends on

numpy

   1 #!/bin/bash
   2 
   3 VERSION_SCIPY=0.13.0b1
   4 builddir="/scratch/${USER}/build/scipy"
   5 
   6 mkdir -p ${builddir}
   7 
   8 cd ${builddir}
   9 wget --output-document=scipy-${VERSION_SCIPY}.tar.gz \
  10     http://downloads.sourceforge.net/project/scipy/scipy/${VERSION_SCIPY}/scipy-${VERSION_SCIPY}.tar.gz
  11 tar -xvvzkf scipy-${VERSION_SCIPY}.tar.gz
  12 cd scipy-${VERSION_SCIPY}
  13 python setup.py build
  14 python setup.py install --user

matplotlib

Depends on

numpy

   1 #!/bin/bash
   2 
   3 VERSION_MATPLOTLIB=1.3.0
   4 builddir="/scratch/${USER}/build/matplotlib"
   5 
   6 mkdir -p ${builddir}
   7 
   8 cd ${builddir}
   9 wget --output-document=matplotlib-${VERSION_MATPLOTLIB}.tar.gz \
  10     http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-${VERSION_MATPLOTLIB}/matplotlib-${VERSION_MATPLOTLIB}.tar.gz/download
  11 tar -xvvzkf matplotlib-${VERSION_MATPLOTLIB}.tar.gz
  12 cd matplotlib-${VERSION_MATPLOTLIB}
  13 python setup.py build
  14 python setup.py install --user

nose

Depends on

numpy

scipy

   1 #!/bin/bash
   2 
   3 VERSION_NOSE=1.0.0
   4 builddir="/scratch/${USER}/build/nose"
   5 
   6 mkdir -p ${builddir}
   7 
   8 cd ${builddir}
   9 wget http://somethingaboutorange.com/mrl/projects/nose/nose-${VERSION_NOSE}.tar.gz
  10 tar -xvvzkf nose-${VERSION_NOSE}.tar.gz
  11 cd nose-${VERSION_NOSE}
  12 python setup.py build
  13 python setup.py install --user

nlopt

   1 #!/bin/bash
   2 
   3 # Installation script for nlopt library
   4 
   5 VERSION=2.3
   6 INSTALLDIR=$HOME/.local
   7 BUILDDIR=/scratch/$USER/nlopt
   8 
   9 mkdir -p $BUILDDIR
  10 cd $BUILDDIR
  11 
  12 wget "http://ab-initio.mit.edu/nlopt/nlopt-${VERSION}.tar.gz"
  13 tar -xvvzkf nlopt-${VERSION}.tar.gz
  14 cd nlopt-${VERSION}
  15 
  16 ./configure \
  17         --enable-shared \
  18         --prefix=$INSTALLDIR \
  19         OCT_INSTALL_DIR=$INSTALLDIR/octave/oct \
  20         M_INSTALL_DIR=$INSTALLDIR/octave/m/ \
  21         MEX_INSTALL_DIR=$INSTALLDIR/mex \
  22         GUILE_INSTALL_DIR=$INSTALLDIR/guile
  23 
  24 make
  25 make install


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