pietern

# Author: Pieter Noordhuis
# Description: Simple demo to showcase Redis PubSub with EventMachine
#
# Update 7 Oct 2010:
# - This example does *not* appear to work with Chrome >=6.0. Apparently,
#   the WebSocket protocol implementation in the cramp gem does not work
#   well with Chrome's (newer) WebSocket implementation.
#
# Requirements:
# - rubygems: eventmachine, thin, cramp, sinatra, yajl-ruby

RandomEtc

var url = require('url'),
    mongodb = require('mongodb');

var sourceUrl = 'mongodb://user:pass@host:port/db',
    targetUrl = 'mongodb://user:pass@host:port/db',
    collectionName = 'my_awesome_collection';

function openDbFromUrl(mongoUrl, cb) {
    var dbUrl = url.parse(mongoUrl),
        dbName = dbUrl.pathname.slice(1), // no slash

methane

"""Flask extension utility."""

from flask.sessions import SessionInterface, SessionMixin
from werkzeug.contrib.cache import MemcachedCache

import memcache  # Use https://code.launchpad.net/~songofacandy/python-memcached/mixin-threading

def setup_cache(app):
    """
    Setup ``app.cache``.

DazWorrall

in upload handler
in file close
..
----------------------------------------------------------------------
Ran 2 tests in 0.021s

OK

siqin

#! /usr/bin/env python
# -*- coding: utf-8 -*-

import random

global compareCount

def swap(arr, l, r):
    temp = arr[l]
    arr[l] = arr[r]

AlfiyaZi

Backend Development

• node.js
  • Installation paths: use one of these techniques to install node and npm without having to sudo.
  • Node.js HOWTO: Install Node+NPM as user (not root) under Unix OSes
  • Felix's Node.js Guide
  • Creating a REST API using Node.js, Express, and MongoDB
  • Node Cellar Sample Application with Backbone.js, Twitter Bootstrap, Node.js, Express, and MongoDB
  • JavaScript Event Loop
• Node.js for PHP programmers

AlfiyaZi

Frontend Development

Attention: if you attempt to fork this gist, github will think that you are a spammer and you will have to confirm that you are human with them. Apparantly there are too many links in this list. Also I update it rather frequently (see revisions on the left), so it's probably wise to not fork it anyway.

• Guides
  • Hack Design
  • Designer School
  • TheExpressiveWeb
  • Talks To Help You Become A Better Front-End Engineer In 2013
• Web Development Teaching Materials

utek

Add this in your ini file:

[alembic:exclude]
tables = spatial_ref_sys

In env.py:

    import re 
    

direvius

from Tank.Plugins.bfg import Sample
import logging
import time
import json
from MyService.Service import Service
import MyService.Service.ttypes as tt

from thrift.transport import TTransport
from thrift.transport import TSocket
from thrift.protocol import TBinaryProtocol

mdml

A dendrogram is a common way to represent hierarchical data. For Python users, Scipy has a hierarchical clustering module that performs hierarchical clustering and outputs the results as dendrogram plots via matplotlib. When it's time to make a prettier, more customized, or web-version of the dendogram, however, it can be tricky to use Scipy's dendrogram to create a suitable visualization. My preferred method of visualizing data -- especially on the web -- is D3. This example includes a script to convert a Scipy dendrogram into JSON format used by D3's cluster method.

In the example, I cluster six genes by their expression values from two experiments. You can easily replace that data with your own, larger data set, to harness the power of both Scipy and D3 for analyzing hierarchical data. The D3 code I used to generate this example is straigh