shovon

Installing LLVM and Clang v3.2 on OS X

I'm assuming you need this version for Emscripten.

Don't worry, this script will not override your current installation of LLVM and Clang.

Be sure that you have:

• read this README file
• read this README file

temoto

#!/bin/bash
set -e
#
# An example hook script to verify what is about to be committed.
# Called by "git commit" with no arguments.  The hook should
# exit with non-zero status after issuing an appropriate message if
# it wants to stop the commit.
#
# To enable this hook, rename this file to "pre-commit".

aras-p

// Just before switching jobs:
// Add one of these.
// Preferably into the same commit where you do a large merge.
//
// This started as a tweet with a joke of "C++ pro-tip: #define private public",
// and then it quickly escalated into more and more evil suggestions.
// I've tried to capture interesting suggestions here.
//
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,

FiloSottile

; /usr/local/bin/nasm -f macho 32.asm && ld -macosx_version_min 10.7.0 -o 32 32.o && ./32

global start

section .text
start:
    push    dword msg.len
    push    dword msg
    push    dword 1
    mov     eax, 4

XVilka

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

bhollis

app = angular.module 'BlogExample', []

# Simple controller that loads all blog posts
app.controller 'BlogCtrl', ['$scope', 'Blog', ($scope, Blog) ->
  # Get all the blog posts
  Blog.all().then (posts) ->
    $scope.posts = posts
    
  # Extend the $scope with our own properties, all in one big block
  # I like this because it looks like declaring a class.

madjar

import asyncio
import aiohttp
import bs4
import tqdm


@asyncio.coroutine
def get(*args, **kwargs):
    response = yield from aiohttp.request('GET', *args, **kwargs)
    return (yield from response.read_and_close(decode=True))

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

freeman-lab

package thunder.streaming

import org.apache.spark.{SparkConf, Logging}
import org.apache.spark.rdd.RDD
import org.apache.spark.SparkContext._
import org.apache.spark.streaming._
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.mllib.clustering.KMeansModel

import scala.util.Random.nextDouble

munificent

You appear to be advocating a new:

[ ] cloud-hosted [ ] locally installable [ ] web-based [ ] browser-based [ ] language-agnostic
[ ] language-specific IDE. Your IDE will not succeed. Here is why it will not succeed.

You appear to believe that:
[ ] Syntax highlighting is what makes programming difficult
[ ] Garbage collection is free
[ ] Computers have infinite memory
[ ] Nobody really needs: