bogsio

SELECT to_tsvector(content), to_tsquery('english', 'watch')
FROM posts

bogsio

"'fun':8 'go':3 'much':7"
"'awesom':4 'django':2 'unchain':3 'watch':1"
"'know':4 'nt':3 'pizza':7"

bogsio

ALTER TABLE posts ADD COLUMN search_index tsvector;

bogsio

pip install djorm-ext-pgfulltext

bogsio

...
from djorm_pgfulltext.models import SearchManager
from djorm_pgfulltext.fields import VectorField
...
class Post(models.Model):
    """
    Django Model for a blog entry
    """
    title = models.CharField(max_length=250)
    body = models.TextField(blank=True)

bogsio

def search(request):
    """
    Search through the entries
    """
    query = request.GET['q']
    results = Post.search_manager.search(query)
    return render_to_response('search_index.html',
        {'results': results, 'query': query},
        context_instance=RequestContext(request))

bogsio

CREATE INDEX post_search_index
  ON posts
  USING gin
  (search_index);

bogsio

from collections import defaultdict
import random, math


def greedy_tour(graph, start_node):
    """
    Compute a greedy TSP solution for a given graph
    """
    solution = [start_node]
    visited = set([start_node])

bogsio

import numpy

# The link structure
links = {
	'a.com': ['b.com', 'c.com', 'g.com', 'i.com'],
    'b.com': ['d.com', 'c.com', 'a.com'],
    'c.com': ['i.com'],
    'd.com': [],
    'e.com': ['d.com'],
    'f.com': ['c.com'],

bogsio

import numpy

# The link structure
links = {
	'a.com': ['b.com', 'c.com', 'g.com', 'i.com'],
    'b.com': ['d.com', 'c.com', 'a.com'],
    'c.com': ['i.com'],
    'd.com': [],
    'e.com': ['d.com'],
    'f.com': ['c.com'],