tobiasmcnulty

#
# CONFIGURATION FOR USING SMS KANNEL WITH RAPIDSMS
#
# For any modifications to this file, see Kannel User Guide 
# If that does not help, see Kannel web page (http://www.kannel.org) and
# various online help and mailing list archives
#
# Notes on those who base their configuration on this:
#  1) check security issues! (allowed IPs, passwords and ports)
#  2) groups cannot have empty rows inside them!

Christophe31

############# init parent django project settings
from os import path
import sys
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))

import settings

from django.core.management import setup_environ
setup_environ(settings)
###############

mrjoes

1. pip install -r reqs.pip
2. server.py
3. open client.html in browser
4. redis-cli publish push '123456'
5. check browser console

ndarville

"""
Two things are wrong with Django's default `SECRET_KEY` system:

1. It is not random but pseudo-random
2. It saves and displays the SECRET_KEY in `settings.py`

This snippet
1. uses `SystemRandom()` instead to generate a random key
2. saves a local `secret.txt`

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

naholyr

Sample service script for debianoids

Look at LSB init scripts for more information.

Usage

Copy to /etc/init.d:

# replace "$YOUR_SERVICE_NAME" with your service's name (whenever it's not enough obvious)

why-not

"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

"""quick way to create an interesting data frame to try things out""" 
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])

zorainc

class BigForeignKey(models.ForeignKey):
    def db_type(self, connection):
        """ Adds support for foreign keys to big integers as primary keys.
        """
        rel_field = self.rel.get_related_field()
        if (isinstance(rel_field, BigAutoField) or
                (not connection.features.related_fields_match_type and
                isinstance(rel_field, (BigIntegerField, )))):

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

satra

from scipy.spatial.distance import pdist, squareform
import numpy as np

from numbapro import jit, float32

def distcorr(X, Y):
    """ Compute the distance correlation function
    
    >>> a = [1,2,3,4,5]
    >>> b = np.array([1,2,9,4,4])