rodricios

list_of_items = [
    ['Wow, did you hear about this thing that happened over here?!?', 201, 10], 
    ['TIL Something interesting happened at some place.', 14, 24],
    ['My cat.', 101, 14],
    ['Somebody said this to me the other day. I dont agree with that person.', 449, 55],
    ['For my cakeday, I want a lot of upvotes and presents.', 348, 33],
    ['My cat. Part 2.', 777, 13]
]

ranked_list_of_items = sorted(list_of_items, key=lambda x:x[1], reverse=True)

rodricios

#!/usr/bin/env python

"""googlextract.py

It's Google Search! But stripped from
all its user-friendliness!

This was written as a submodule for a larger endeavor. 
Read about it here:
https://github.com/rodricios/crawl-to-the-future/tree/master/crawlers/Crawling-Google

rodricios

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""

pip install networkx distance pattern 

In Flipboard's article[1], they kindly divulge their interpretation
of the summarization technique called LexRank[2].