PythonModuleInstallation

ARCS supports Anaconda Python for both Python 2.x and Python 3.x. The default Anaconda installation comes with most of the modules researches and students need to accomplish their tasks. If additional modules are needed send an email to arcs@njit.edu . If Anacaconda supports the module ARCS will install the module for you. In the event that Anaconda does not have the module available or you prefer to maintain your own python anvironment there are two methods you can use. You do NOT need root permissions to do this.

Install the module in your home directory

The following is an example of installing the "stemming" module in the user home directory without root privileges using "pip":

<pre=code> kong-43 ~ >: pip install --user stemming Collecting stemming Installing collected packages: stemming Successfully installed stemming kong-44 ~ >: python Python 2.7.11 |Anaconda 4.0.0 (64-bit)| (default, Dec 6 2015, 18:08:32) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org >>> import stemming >>> </pre>

The --user switch tells the pip command to install the module in ~/.local/lib/pythonX.Y/site-packages. The directory will be created if it doesn't exist.

Virtualenv

Virtualenv allows a user to maintain a virtual python environment where the user can install packages as needed.

This example uses the installed Intel Python3

<pre=code> band ~ > mkdir pythonapps band ~ >cd pythonapps band pythonapps >: virtualenv testenv Using base prefix '/afs/cad.njit.edu/linux/intel/intelpython3' New python executable in /afs/cad.njit.edu/u/g/w/gwolosh/projects/pythonapps/testenv/bin/python copying /afs/cad.njit.edu/linux/intel/intelpython3/bin/python => /afs/cad.njit.edu/u/g/w/gwolosh/projects/pythonapps/testenv/bin/python copying /afs/cad.njit.edu/linux/intel/intelpython3/bin/../lib/libpython3.6m.so.1.0 => /afs/cad.njit.edu/u/g/w/gwolosh/projects/pythonapps/testenv/lib/libpython3.6m.so.1.0 Installing setuptools, pip, wheel...done. band pythonapps >: source testenv/bin/activate (testenv) band pythonapps >: python Python 3.6.3 |Intel Corporation| (default, Feb 12 2018, 06:37:09) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux Type "help", "copyright", "credits" or "license" for more information. Intel(R) Distribution for Python is brought to you by Intel Corporation. Please check out: https://software.intel.com/en-us/python-distribution (testenv) band-73 pythonapps >: pip install numpy Collecting numpy

 Downloading https://files.pythonhosted.org/packages/71/90/ca61e203e0080a8cef7ac21eca199829fa8d997f7c4da3e985b49d0a107d/numpy-1.14.3-cp36-cp36m-manylinux1_x86_64.whl (12.2MB)
   100% |████████████████████████████████| 12.2MB 137kB/s

Installing collected packages: numpy Successfully installed numpy-1.14.3 (testenv) band pythonapps >: python Python 3.6.3 |Intel Corporation| (default, Feb 12 2018, 06:37:09) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux Type "help", "copyright", "credits" or "license" for more information. Intel(R) Distribution for Python is brought to you by Intel Corporation. Please check out: https://software.intel.com/en-us/python-distribution >>> import numpy >>> exit()

</pre> To leave the virtualenv <pre=code> (testenv) band pythonapps >: deactivate band pythonapps >: