nicpottier

from django.db.models.signals import post_syncdb
from django.contrib.contenttypes.models import ContentType
from django.contrib.auth.models import Permission

def add_view_permissions(sender, **kwargs):
    """
    This syncdb hooks takes care of adding a view permission too all our 
    content types.
    """
    # for each of our content types

iambibhas

import requests

from django.core.files import File
from django.core.files.temp import NamedTemporaryFile


def save_image_from_url(model, url):
    r = requests.get(url)

    img_temp = NamedTemporaryFile(delete=True)

goldhand

#models.py

class Task(models.Model):
    title = models.CharField(max_length=255)
    description = models.TextField()

    def __unicode__(self):
        return self.title

scaryguy

-- Firstly, remove PRIMARY KEY attribute of former PRIMARY KEY
ALTER TABLE <table_name> DROP CONSTRAINT <table_name>_pkey;

-- Then change column name of  your PRIMARY KEY and PRIMARY KEY candidates properly.
ALTER TABLE <table_name> RENAME COLUMN <primary_key_candidate> TO id;

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

ihorvorotnov

Facebook*:
https://api.facebook.com/method/links.getStats?urls=%%URL%%&format=json
+ works, returns shares, likes, comments and total

Twitter: 
http://urls.api.twitter.com/1/urls/count.json?url=%%URL%%&callback=twttr.receiveCount
+ v1 API but still works

Reddit:
http://buttons.reddit.com/button_info.json?url=%%URL%%

ferlyz05

(function(window, document, version, callback) {
    var j, d;
    var loaded = false;
    if (!(j = window.jQuery) || version > j.fn.jquery || callback(j, loaded)) {
        var script = document.createElement("script");
        script.type = "text/javascript";
        script.src = "/media/jquery.js";
        script.onload = script.onreadystatechange = function() {
            if (!loaded && (!(d = this.readyState) || d == "loaded" || d == "complete")) {
                callback((j = window.jQuery).noConflict(1), loaded = true);

dannguyen

This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.

Usage

The face-boxer.py script is designed to be run from the command-line. It has two required arugments:

1. The path to a XML file containing a Haar-cascade of visual features. In this example, it will be the features that make up a face.
2. The path to an image file that you want to perform face-detection on. You can pass in more than one image file as space-separated arguments.

wenzhixin

# install openjdk
sudo apt-get install openjdk-7-jdk

# download android sdk
wget http://dl.google.com/android/android-sdk_r24.2-linux.tgz

tar -xvf android-sdk_r24.2-linux.tgz
cd android-sdk-linux/tools

# install all sdk packages

chrisdev

class TestStaticSitePaths(TestCase):
    def setUp(self):
        self.root_page = Page.objects.get(id=1)

        # For simple tests
        self.home_page = self.root_page.add_child(instance=SimplePage(title="Homepage", slug="home"))
        self.about_page = self.home_page.add_child(instance=SimplePage(title="About us", slug="about"))
        self.contact_page = self.home_page.add_child(instance=SimplePage(title="Contact", slug="contact"))

        # For custom tests