Last login: Thu Apr 14 12:27:36 on ttys007
dhcp-10-105-111-73:~ kbicknell$ python
Python 2.7.11 (default, Mar  1 2016, 18:40:10) 
[GCC 4.2.1 Compatible Apple LLVM 7.0.2 (clang-700.1.81)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> words = ['the', 'cat', 'ran']
>>> words_to_index = {'the': 0, 'cat': 1, 'ran': 2}
>>> words_to_index = {}
>>> for word in words:
...     words_to_index[word] = 0
... 
>>> for i, word in enumerate(words):
...     words_to_index[word] = i
... 
>>> words_to_index
{'ran': 2, 'the': 0, 'cat': 1}
>>> words_to_index['cat']
1
>>> import numpy
>>> import numpy as np
>>> a_vector = np.zeros(10)
>>> print(a_vector)
[ 0.  0.  0.  0.  0.  0.  0.  0.  0.  0.]
>>> a_vector[0] = 11
>>> a_vector[4] = 3
>>> a_vector[0] += 4
>>> print(a_vector)
[ 15.   0.   0.   0.   3.   0.   0.   0.   0.   0.]
>>> a_matrix = np.zeros((3,5))
>>> print(a_matrix)
[[ 0.  0.  0.  0.  0.]
 [ 0.  0.  0.  0.  0.]
 [ 0.  0.  0.  0.  0.]]
>>> a_matrix[0, 0] = 11
>>> a_matrix[1, 2] = 3
>>> a_matrix[0, 0] += 4
>>> a_matrix
array([[ 15.,   0.,   0.,   0.,   0.],
       [  0.,   0.,   3.,   0.,   0.],
       [  0.,   0.,   0.,   0.,   0.]])
>>> print np.sum(a_vector)
18.0
>>> print a_vector
[ 15.   0.   0.   0.   3.   0.   0.   0.   0.   0.]
>>> print np.sum(a_matrix)
18.0
>>> print(a_vector)
[ 15.   0.   0.   0.   3.   0.   0.   0.   0.   0.]
>>> print(a_vector + 1)
[ 16.   1.   1.   1.   4.   1.   1.   1.   1.   1.]
>>> print (a_vector * 3)
[ 45.   0.   0.   0.   9.   0.   0.   0.   0.   0.]
>>> print (a_vector / 3)
[ 5.  0.  0.  0.  1.  0.  0.  0.  0.  0.]
>>> a_matrix * a_matrix
array([[ 225.,    0.,    0.,    0.,    0.],
       [   0.,    0.,    9.,    0.,    0.],
       [   0.,    0.,    0.,    0.,    0.]])
>>> 
dhcp-10-105-111-73:~ kbicknell$ ssh hardin.it.northwestern.edu
kob734@hardin.it.northwestern.edu's password: 
Last login: Thu Apr 14 09:14:30 2016 from dhcp-129-105-58-242.ling.northwestern.edu

This system is for the use of authorized users only.  Individuals using
this computer system without authority or in the excess of their authority
are subject to having all their activities on this system monitored and
recorded by system personnel.  In the course of monitoring individuals
improperly using this system or in the course of system maintenance, the
activities of authorized users may also be monitored.  Anyone using this
system expressly consents to such monitoring and is advised that if such
monitoring reveals possible evidence of illegal activity or violation of
University regulations system personnel may provide the evidence of such
monitoring to University authorities and/or law enforcement officials.


     Northwestern University Social Sciences Computing Cluster

           Academic Technologies / Research Computing

********** ********** ********** ********** ********** ********** **
  Please run all cpu-intensive jobs (4 hrs +) with the batch system.
********** ********** ********** ********** ********** ********** **

Please report system anomalies to sscc-support@northwestern.edu

--- Date --  -------------------- Description -------------------------
Feb 29 2016  Matlab R2015b Installed
Dec 07 2015  R Upgraded to R-3.2.2
Sep 04 2015  SAS Studio 3.4 Basic Installed as Upgrade
Sep 04 2015  SAS Upgraded to 9.4 TS1_M3 and SAS Analytical Products 14.1
May 11 2015  Mplus 7.31 Upgrade Installed
Apr 29 2015  Stata/MP 4-core Version 14 Installed
Apr 17 2015  Stat/Transfer Upgraded to Version 13 on Seldon
Mar 09 2015  AMPL Announced
Jan 28 2015  RStudio Application and Server Upgraded to version 0.98.1091
Mar 27 2014  PBS Pro 12.2.1 Installed
Feb 18 2013  KNITRO Upgraded to Version 8.1
Nov 09 2012  Matlab R2012b Installed

------------------------------------------------------------------------

[kob734@hardin ~]$ python --version
Python 2.7.11 :: Anaconda 2.4.1 (64-bit)
[kob734@hardin ~]$ python
Python 2.7.11 |Anaconda 2.4.1 (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 nltk
>>> data_filename = nltk.data.path[0] + 'mini_data_1.csv'
>>> data_filename
'/sscc/home/k/kob734/nltk_datamini_data_1.csv'
>>> data_filename = nltk.data.path[0] + '/mini_data_1.csv'
>>> data_filename
'/sscc/home/k/kob734/nltk_data/mini_data_1.csv'
>>> rf = open(data_filename, 'r')
>>> rf.close()
>>> rf = open(data_filename, 'r')
>>> for line in rf:
...     print line
... 
rt,file

324,ball_female_english.wav

421,bounce_male_mandarin.wav

279,tall_male_english.wav

398,world_female_mandarin.wav

>>> print 'bob'
bob
>>> rf.close()
>>> with open(data_filename, 'r') as rf:
...     for line in rf:
...             print line,
... 
rt,file
324,ball_female_english.wav
421,bounce_male_mandarin.wav
279,tall_male_english.wav
398,world_female_mandarin.wav
>>> with open('blah.txt', 'w') as wf:
...     wf.write('this is my file\n')
...     wf.write('and a second line!!\n')
... 
>>> with open(data_filename, 'r') as rf, open('blah.txt', 'w') as wf:
...     for line in rf:
...             line = line.rstrip('\n')
...             line = line.upper()
...             wf.write(line + '\n')
... 
>>> 
[kob734@hardin ~]$ logout

Connection to hardin.it.northwestern.edu closed.
dhcp-10-105-111-73:~ kbicknell$