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| = Scientific Python Mode in the NMR Center = <<TableOfContents(3)>> There are currently three scientific Python installations available at the Martinos Center. The two more recent installations are the [[https://store.continuum.io/cshop/anaconda/|Anaconda]] and the [[http://enthought.com/products/epd.php|Enthought Python Distribution (EPD)]]. The third installation is the legacy Python Installation; users of this installation are encouraged to switch to the Anaconda based installation, as it is more actively supported and contains more up to date packages. If you use Python, make sure to sign up for the [[https://mail.nmr.mgh.harvard.edu/mailman/listinfo/martinos-python|martinos-python mailing list]] to receive updates regarding the Python installation and discuss Python related issues. === Resources for Learning Python === * [[http://scipy-lectures.github.com|Python Scientific Lecture Notes]] * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab Users]] * The [[http://meetup.bostonpython.com|Boston Python User Group]] regularly holds meetings and organizes introductory Python classes === Available Python Modules === The following neuroimaging related modules are installed: * [[http://martinos.org/mne/index.html|mne-python]] for M/EEG analysis * [[http://nipy.sourceforge.net/nibabel|nibabel]] provides access to a large number of neuro-imaging file formats * [[http://nipy.sourceforge.net/nitime|nitime]] for time-series analysis * [[http://code.google.com/p/pydicom|pydicom]] enables you to read, modify and write DICOM files with python code * [[http://pysurfer.github.com|PySurfer]] for visualization and interaction with cortical surface representations of neuroimaging data from FreeSurfer If you know of other modules that should be made available to all users, send an e-mail to the [[https://mail.nmr.mgh.harvard.edu/mailman/listinfo/martinos-python|martinos-python mailing list]] == Anaconda Based Scientific Python Installation == <<Anchor(anaconda_python)>> === Getting Started === On CentOS 5/6 (64-bit) do the following to enable the EPD based Python installation {{{ setenv PATH /usr/pubsw/packages/python/anaconda/bin:${PATH} }}} Within the first 30 days you will need to get a license (free for academic use). Go to the link below and click on the Anaconda Academic License button on the top right corner. Be sure to use your .edu email address, when signing up for the license. https://store.continuum.io/cshop/academicanaconda Notes for the python maintainer (person managing anaconda, not users) on saving old environments and creating new ones are [[managing_python|here]] == EPD Based Scientific Python Installation == <<Anchor(epd_python)>> === Getting Started === On CentOS 5/6 (64-bit) do the following to enable the EPD based Python installation {{{ setenv PATH /usr/pubsw/packages/python/epd/bin:${PATH} }}} == Legacy Scientific Python Installation == <<Anchor(legacy_python)>> Scientific Python mode is now available in the following platform/os combinations in the NMR center * CentOS 64-bit * CentOS 32-bit * MacOSX Leopard (Intel) The "system Python" ( the Python version which already exists in the system ) is not tampered with due to the following reasons: 1. In CentOS systems, the Python version is very old ( 2.3.4 ) which prevents installation of many new modules essential for scientific computing in Python. However, a number of other system modules and programs are dependent on this version and it's best not to disturb this version. 1. Leopard systems have a customized Python 2.5.x, which, again is a necessity for a number of modules. Again, best not to tamper with it. 1. '''Isolation:''' The latest Python ( 2.6.3 ) and its associated modules are installed in /usr/pubsw/packages which are isolated from the system python and its modules. This configuration enables NMR center users to basically access both the versions of the Python and since both exist independently, they don't mess with each other. === Enabling the Scientific Python mode === By default, typing "python" to invoke the Python interpreter brings up the system Python interpreter which can be verified by looking at the version. To enable the scientific python mode, users source the scientific python mode script in the following way : {{{ source /usr/pubsw/packages/python/2.6/scientificpython/bin/tcsh_activate }}} '''Note:''' strongly recommended. this line can/should be put as an alias in one's ~/.cshrc in the following way: {{{ alias pyactivate "source /usr/pubsw/packages/python/2.6/scientificpython/bin/tcsh_activate" }}} Once, this is done, the user can just type '''`pyactivate`''' to activate the scientific python mode and type '''`deactivate`''' to get back to the default ( normal system python mode ) In the scientific python mode, the prompt is preceded by the text `(scientificpython)`, which lets the user know that he/she is in the scientific python mode. The user can invoke the python interpreter by typing `python` and notice that the interpreter is now the latest Python's interpreter. Once the user deactivates the mode, the prompt is changed back to the default prompt. '''Note:''' The sourcing script works under tcsh shell. Bash is currently unsupported but will be if there are enough users using bash. === List of installed modules === * Python 2.6.3 * Numpy 1.3.0 * Scipy 0.7.1 (c) * matplotlib 0.99.1.1 ( `TkInter` backend in Mac platform and wxPython backend in CentOS platforms ) (c) * wxPython 2.8.10.1 ( only on CentOS platforms ) (c) * IPython 0.10 * NetworkX 1.0rc1 * nose 0.11.1 * Sphinx 0.6.3 * Cython 0.11.3 * pynifti 0.20090303.1 (c) * SQLAlchemy 0.6.3 * argparse 1.1 * xlrd 0.7.1 * xlwt 0.7.2 * pysqlite 2.6.0 ( except CentOS 32-bit ) * PyXML 0.8.4 (c) * pydicom 0.9.4-1 * nibabel 1.0.0 ( cutting edge master branch Aug 27, 2010 ) '''Note :''' The list of modules indicated by (c) are compiled modules and the rest were installed using easy_install script. === Troubleshooting === 1. '''`pylab`''' doesn't start: This might be because there might be a stray `.matplotlibrc` file, which is already existing in your path preventing the standard backend to load. As an example, pylab can't be imported if the backend is `WXAgg` for Mac platforms or `TkAgg` for CentOS platforms. The fix is to comment out the line starting with `backend` in your `.matplotlibrc` ( usually in ~/matplotlib/matplotlibrc ) === Behind the Scenes === ( For advanced users ) A program called `virtualenv` is made use of to isolate the Pythons. virtualenv enables one to totally switch to a different Python with its own modules ( enabled by the switch --no-site-packages). So when the user sources the `tcsh_activate` script, what he/she is effectively doing is to prefix the system PATH, PYTHONPATH, module PATHs with the custom Python's paths and when the user `deactivate`s he/she gets back all the default paths. virtualenv takes care of this complex paths manipulation behind the scenes. It also makes the modules installation a breeze for the administrator. |
This page has been moved [[https://it.martinos.org/help/python|here]] |
This page has been moved here