.. _install: **************************** Prerequisites / Installation **************************** odML-tables is a pure Python package so that it should be easy to install on any system. Dependencies ------------ The following packages are required to use python-odmltables: * Python_ >= 2.7 * numpy_ >= 1.8.2 * quantities_ >= 0.10.1 * odml >= 1.1 * xlrd >= 0.9.4 * xlwt >= 1.0.0 * For building the documentation: * numpydoc >= 0.5 * sphinx >= 1.2.2 * For running tests: * nose >= 1.3.3 Download -------- The latest version of python-odmltables is available on [GitHub] (https://github.com/INM-6/python-odmltables). You can either use git and download python-odmltables directly under Linux using $ cd /home/usr/toolbox/ $ git clone https://github.com/INM-6/python-odmltables.git or alternatively download python-odmltables as ZIP file and unzip it to a folder. Installation ------------ Linux ***** On Linux, to set up python-odmltables you navigate to your python-odmltables folder and install it via $ cd /home/usr/toolbox/python-odmltables/ $ python setup.py install You can start the odmltables graphical wizard by calling odml-tables Alternatively, you may navigate to the python-odmltables folder and run ./odmltables-gui Windows/Mac OS X **************** On non-Linux operating systems we recommend using the Anaconda_ Python distribution, and installing all dependencies in a `Conda environment`_, e.g.:: $ conda create -n neuroscience python numpy scipy pip six $ source activate neuroscience Then navigate to the folder where you downloaded python-odmltables and run: $ python setup.py install On Windows, to run the graphical wizard, execute odml-tables.exe in the Anaconda/Envs/neuroscience/Scripts folder in your User directory. Alternatively, on Windows or Max OS X you may navigate to the python-odmltables folder and run python odmltables-gui.py Bugs ---- If you observe a bug in odMLtables please add a bug report at [the github bug tracker] (https://github.com/INM-6/python-odmltables/issues) .. _Anaconda: http://continuum.io/downloads .. _`Conda environment`: http://conda.pydata.org/docs/faq.html#creating-new-environments