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{% extends "admin/base_site.html" %}
{% load i18n admin_static admin_modify %}
{% load admin_urls %}
{% load url from future %}

{% block bodyclass %}{{ opts.app_label }}-{{ opts.object_name.lower }} change-form{% endblock %}
{% if not is_popup %}
{% block breadcrumbs %}
<ul>
    <li><a href="{% url 'admin:index' %}">{% trans 'Home' %}</a></li>

Chitrank-Dixit

ALSO SEE THIS: http://eddychan.com/post/18484749431/minimum-viable-ops-deploying-your-first-django-app-to 
AND THIS: http://bitnami.com/stack/django

These are my notes on how to quickly setup a python, virtualenv (use virtualenv-burrito FTW), and django.  
 
Setup an EC-2 instance: 
=======================

Use the quick launch wizard:

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def get_all_data(datasource):
	#print "In get_all_data"
	#datasource = datasource.replace('\n','')
	start = datasource.find('\\textb')
	#import pdb; pdb.set_trace()
	#print start

	if start == -1:
		return None,0
	st_data = datasource.find('f', start)

Chitrank-Dixit

# Based on https://github.com/sass/libsass/wiki/Building-with-autotools

# Install dependencies
apt-get install automake libtool 

# Fetch sources
git clone https://github.com/sass/libsass.git
git clone https://github.com/sass/sassc.git libsass/sassc

# Create configure script

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# This is the script download a page from the server and then search from it the required keyword
import urllib2


def get_all_occurences(page):
	length = len(keyword)
	start_link = page.find(keyword)
	if start_link == -1:
		return None, 0
	end_quote = start_link + length

Chitrank-Dixit

#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask.ext.httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':

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# Write a web crawler

'''
 A crawler is a program that starts with a url on the web (ex: http://python.org), fetches the web-page corresponding to that url, and parses all the links on that page into a repository of links. Next, it fetches the contents of any of the url from the repository just created, parses the links from this new content into the repository and continues this process for all links in the repository until stopped or after a given number of links are fetched.
'''

# urllib2 for downloading web pages
import urllib2

# get_next_target() takes a page and checks for the positions of the links it finds from '<a href='

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# this is the correct program
import re
import urllib2
# get_next_target() takes a page and checks for the positions of the links
def get_next_target(page):
    
    match=re.findall(r'[\w.-]+@[\w.-]+',page)
    
    if match:
        return match

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# The Following Program would work as Lexical Analyser
#
# Write a C/C++ program which reads a program written
# in any programming language (say C/C++/Java) and then perform 
# lexical analysis. The output of program should contain the 
# tokens i.e. classification as identifier, special symbol, delimiter, 
# operator, keyword or string. It should also display the number of 
# identifiers, special symbol, delimiter, operator, keyword, strings 
# and statements

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# from dd/mm/yyyy to yyyy/mm/dd format of dates
f = open('testdate.txt')
i = f.read()
print i
date = i.split("\n")
print date
convDate = []

for adate in date:
	if '/' in adate: