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python Programming Glossary: data_list

Django MultiWidget Phone Number Field

http://stackoverflow.com/questions/1777435/django-multiwidget-phone-number-field

self .__init__ fields args kwargs def compress self data_list if data_list 0 in fields.EMPTY_VALUES or data_list 1 in fields.EMPTY_VALUES.. fields args kwargs def compress self data_list if data_list 0 in fields.EMPTY_VALUES or data_list 1 in fields.EMPTY_VALUES.. self data_list if data_list 0 in fields.EMPTY_VALUES or data_list 1 in fields.EMPTY_VALUES or data_list 2 in fields.EMPTY_VALUES..

How to open write reserved excel file in python with win32com?

http://stackoverflow.com/questions/2887339/how-to-open-write-reserved-excel-file-in-python-with-win32com

in python how to remove this \n from string or list

http://stackoverflow.com/questions/2903523/in-python-how-to-remove-this-n-from-string-or-list

a new line character is added and make it like this way data_list ' action employee_id name n absent pritesh 2010 09 15 00 00.. new line strarting but its appended i want to make it like data_list ' action employee_id name absent pritesh 2010 09 15 00 00 00'.. question Davide's answer can be written even simpler as data_list word.strip for word in data_list But I'm not sure it's what..

Python “input data”

http://stackoverflow.com/questions/6009542/python-input-data

. I started with this code data open 'set.data' 'rt' data_list border 2. 3 data_list line.strip .split ' ' for line in.. data open 'set.data' 'rt' data_list border 2. 3 data_list line.strip .split ' ' for line in data learning_set data_list.. line.strip .split ' ' for line in data learning_set data_list int round len data_list border test_set data_list int round..

Convert 2d numpy array into list of lists

http://stackoverflow.com/questions/9721884/convert-2d-numpy-array-into-list-of-lists

way aka without loops. import numpy array numpy.ones 2 4 data_list list array data_list array 1. 1. 1. 1. array 1. 1. 1. 1. type.. import numpy array numpy.ones 2 4 data_list list array data_list array 1. 1. 1. 1. array 1. 1. 1. 1. type data_list 0 type 'numpy.ndarray'.. array data_list array 1. 1. 1. 1. array 1. 1. 1. 1. type data_list 0 type 'numpy.ndarray' # what I don't want # non pythonic way..