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def compute_p(G, weight='weight', p='p'):
    # Undirected
    for node in G:
        k_n = len(G[node])
        if k_n > 1:
            sum_w = sum( G[node][neighbor][weight] for neighbor in G[node] )
            for neighbor in G[node]:
                edge_weight = G[node][neighbor][weight]
                p_ij = float(edge_weight)/sum_w
                G[node][neighbor][p] = (1-p_ij)**(k_n-1)

clayadavis

'''
Run multiple commands in parallel.

Run from CLI like

    $ python purr.py commands.txt

where `commands.txt` is a text file containing one command per line.
'''
import subprocess

clayadavis

import redis

# Number of records to move at once
N = 10000
# DB number and key
DB = 3
KEY = 'deletion_notices'


source = redis.StrictRedis('<source host>', db=DB)

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import functools

from flask import Flask, request

app = Flask(__name__)

def authenticate_mashape(func):
    '''
    Decorator to authenticate request with Mashape.
    '''

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from .. import app

from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
# logger.setLevel(logging.DEBUG)


@app.task(name='test.noop', bind=True)
def noop(self):
    logger.info("Completing NOOP task")

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function getHightlightCoords() {
  var pageIndex = PDFViewerApplication.pdfViewer.currentPageNumber - 1; 
  var page = PDFViewerApplication.pdfViewer.getPageView(pageIndex);
  var pageRect = page.canvas.getClientRects()[0];
  var selectionRects = Array.apply(this, window.getSelection().getRangeAt(0).getClientRects());
  var viewport = page.viewport;
  var selected = selectionRects.map(function (r) {
    return viewport.convertToPdfPoint(r.left - pageRect.left, r.top - pageRect.top).concat(
       viewport.convertToPdfPoint(r.right - pageRect.left, r.bottom - pageRect.top)); 
  });

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import json
import requests

## `pip install tweepy`
import tweepy 

auth = tweepy.OAuthHandler('consumer_key', 'consumer_secret')
auth.set_access_token('access_token_key', 'access_token_secret')
api = tweepy.API(auth, parser=tweepy.parsers.JSONParser())

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"""
Add copy to clipboard from IPython!
To install, just copy it to your profile/startup directory, typically:

    ~/.ipython/profile_default/startup/

Example usage:

    %clip hello world
    # will store "hello world"

clayadavis

from django.db.models import Aggregate, fields
from django.db.models.sql.aggregates import Aggregate as SQLAggregate

class SQLConcat(SQLAggregate):
    sql_function = 'GROUP_CONCAT'
    sql_template = ('%(function)s(%(distinct)s%(field)s'
                    ' SEPARATOR "%(separator)s")')
    def __init__(self, col, separator=', ', distinct=False, **extra):
        super(SQLConcat, self).__init__(col, separator=separator,
                distinct=distinct and 'DISTINCT ' or '', **extra)

clayadavis

nodes = [{'name': n, 'group': G.node[n]['question_id'], 'size': G.node[n]['count']} for n in G]
l = G.edges()
edges = [{'source': l.index(s), 'target': l.index(t), 'value': G[s][t]['weight']} for s,t in itertools.product(l, l) if s in G and t in G[s]]
json.dump({'nodes': nodes, 'links': edges}, open('filename.json', 'w'))