kentbrew

The Problem

Standard practices say no non-root process gets to talk to the Internet on a port less than 1024. How, then, could I get Node talking on port 80 on EC2? (I wanted it to go as fast as possible and use the smallest possible share of my teeny tiny little micro-instance's resources, so proxying through nginx or Apache seemed suboptimal.)

The temptingly easy but ultimately wrong solution:

Alter the port the script talks to from 8000 to 80:

}).listen(80);

jacobian

from django.db import models

class Person(models.Model):
    name = models.CharField(max_length=200)
    groups = models.ManyToManyField('Group', through='GroupMember', related_name='people')
    
    class Meta:
        ordering = ['name']
    
    def __unicode__(self):

toastdriven

import operator
from haystack.query import SearchQuerySet, SQ

query = 'lil way'
sqs = SearchQuerySet().filter(reduce(operator.__and__, [SQ(name=word.strip()) for word in query.split(' ')]))

thepaul

# SaferScanner is just like re.Scanner, but it neuters any grouping in the lexicon
# regular expressions and throws an error on group references, named groups, or
# regex in-pattern flags. Any of those can break correct operation of Scanner.

import re
from sre_constants import BRANCH, SUBPATTERN, GROUPREF, GROUPREF_IGNORE, GROUPREF_EXISTS

class SaferScanner(re.Scanner):
    def __init__(self, lexicon, flags=0):
        self.lexicon = lexicon

mranney

From: Chris DeSalvo <chris.desalvo@voxer.com>
Subject: Why we can't process Emoji anymore
Date: Thu, 12 Jan 2012 18:49:20 -0800
Message-Id: <AE459007-DF2E-4E41-B7A4-FA5C2A83025F@voxer.com>

--Apple-Mail=_6DEAA046-886A-4A03-8508-6FD077D18F8B
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain;
	charset=utf-8

lepture

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012, lepture.com
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
#    * Redistributions of source code must retain the above copyright

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

rjz

# A class-based template for jQuery plugins in Coffeescript
#
#     $('.target').myPlugin({ paramA: 'not-foo' });
#     $('.target').myPlugin('myMethod', 'Hello, world');
#
# Check out Alan Hogan's original jQuery plugin template:
# https://github.com/alanhogan/Coffeescript-jQuery-Plugin-Template
#
(($, window) ->

apaprocki

#include <pthread.h>
#include <unistd.h>

#include <iostream>

#include <v8.h>

using namespace v8;

static void *run(void *ptr) {

cihancimen

- (BOOL)stringContainsEmoji:(NSString *)string {
    __block BOOL returnValue = NO;
    [string enumerateSubstringsInRange:NSMakeRange(0, [string length]) options:NSStringEnumerationByComposedCharacterSequences usingBlock:
     ^(NSString *substring, NSRange substringRange, NSRange enclosingRange, BOOL *stop) {
         
         const unichar hs = [substring characterAtIndex:0];
         // surrogate pair
         if (0xd800 <= hs && hs <= 0xdbff) {
             if (substring.length > 1) {
                 const unichar ls = [substring characterAtIndex:1];