alvingonzales

# sample implementation for http://stackoverflow.com/questions/37851053/django-query-group-by-month#new-answer

from __future__ import unicode_literals

from django.db import models
from django.db.models import Func, F, Sum
from django.db.transaction import atomic, rollback
from django.utils.timezone import now

class Invoice(models.Model):

0mkara

Create your own Ethereum private network

Introduction

Used nodes:

Linux raspberrypi 4.9.41-v7+ #1023 SMP Tue Aug 8 16:00:15 BST 2017 armv7l GNU/Linux

Linux localhost.localdomain 4.14.5-200.fc26.x86_64 #1 SMP Mon Dec 11 16:29:08 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

kravietz

#!/usr/bin/python
# -*- coding: utf-8 -*-
from urllib.parse import urlparse

import codecs
from django.conf import settings
from django.utils.html_parser import HTMLParser

__author__ = 'Paweł Krawczyk'

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

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

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.

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);

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%%

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.

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;