tpoisot

import networkx as nx
import numpy as np
import itertools

## We define each S* motif as a directed graph in networkx
motifs = {
    'S1': nx.DiGraph([(1,2),(2,3)]),
    'S2': nx.DiGraph([(1,2),(1,3),(2,3)]),
    'S3': nx.DiGraph([(1,2),(2,3),(3,1)]),
    'S4': nx.DiGraph([(1,2),(3,2)]),

aronwc

""" Example using GenSim's LDA and sklearn. """

import numpy as np

from gensim import matutils
from gensim.models.ldamodel import LdaModel
from sklearn import linear_model
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer

rpietro

# script stolen from http://goo.gl/YbQyAQ

# install.packages("tm")
# install.packages("ggplot2")
# install.packages("lsa")
# install.packages("scatterplot3d")
#install.packages("SnowballC")
#if !(require('SnowballC')) then install.packages("SnowballC")
library(tm)
library(ggplot2)

shlomibabluki

# coding=UTF-8
import nltk
from nltk.corpus import brown

# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013

meefen

# load required libraries
library(tm)
library(ggplot2)
library(lsa)

# 1. Prepare mock data
text <- c("transporting food by cars will cause global warming. so we should go local.",
          "we should try to convince our parents to stop using cars because it will cause global warming.",
          "some food, such as mongo, requires a warm weather to grow. so they have to be transported to canada.",
          "a typical electronic circuit can be built with a battery, a bulb, and a switch.",

z-m-k

GNU GENERAL PUBLIC LICENSE
                       Version 3, 29 June 2007

 Copyright (C) 2007 Free Software Foundation, Inc. {http://fsf.org/}
 Everyone is permitted to copy and distribute verbatim copies
 of this license document, but changing it is not allowed.

                            Preamble

  The GNU General Public License is a free, copyleft license for

dahu

Large Object Motions:
(
)
{
}
[[
[]
][
]]
[m

ibeex

A warning occurred (42 apples)
An error occurred

jzempel

from blueprint import example
from extensions import mail
from flask import Flask
import settings


def create_app(settings=settings):
    ret_val = Flask(__name__)
    ret_val.config.from_object(settings)
    # initialize extensions...

wickman

Python development using Pants

brian wickman - @wickman

[TOC]

Why use Pants for Python development?

Pants makes the manipulation and distribution of hermetically sealed Python environments