In your command-line run the following commands:
brew doctor
brew update
import requests, re, sys | |
url = "https://mobile.twitter.com/{}/following" | |
cursor = "" | |
usernames = [] | |
first = True | |
if len(sys.argv) < 2: | |
print("Usage: python followers.py <username>") | |
quit(1) |
In your command-line run the following commands:
brew doctor
brew update
# Copyright (c) 2014-2015 Kyle Gorman <[email protected]> | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a | |
# copy of this software and associated documentation files (the | |
# "Software"), to deal in the Software without restriction, including | |
# without limitation the rights to use, copy, modify, merge, publish, | |
# distribute, sublicense, and/or sell copies of the Software, and to | |
# permit persons to whom the Software is furnished to do so, subject to | |
# the following conditions: | |
# |
Update: https://github.com/phracker/MacOSX-SDKs hosts the direct SDK folders already extracted.
Xcode 4.3.3
Show Package Content
/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs
try: | |
from xml.etree.cElementTree import XML | |
except ImportError: | |
from xml.etree.ElementTree import XML | |
import zipfile | |
""" | |
Module that extract text from MS XML Word document (.docx). | |
(Inspired by python-docx <https://github.com/mikemaccana/python-docx>) |
# s|^■||g | |
# s| : | |g | |
s|《 .* 》||g | |
s|{ .* }||g | |
s|〔 .* 〕||g | |
s|[ .* ]||g | |
s|( .* )||g | |
s|〈 .* 〉||g | |
s|【 .* 】||g |
""" | |
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ] | |
Modified from remove_output by Minrk | |
""" | |
import sys | |
import io | |
import os | |
from IPython.nbformat.current import read, write |
"""Information Retrieval metrics | |
Useful Resources: | |
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
http://www.nii.ac.jp/TechReports/05-014E.pdf | |
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
""" | |
import numpy as np |
Here's a few things I tried to write output to a python subprocess pipe.
from subprocess import Popen, PIPE
p = Popen('less', stdin=PIPE)
for x in xrange(100):
p.communicate('Line number %d.\n' % x)