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

spantaleev

*.pyc
env
static/js

aaronwolen

% Title % Name % Date

My first slide

List

danlucraft

require 'pdf-reader'
require './markup_receiver'

doc = PDF::Reader.new(ARGV[0])

$objects = doc.objects

def is_note?(object)
  object[:Type] == :Annot && [:Text, :FreeText].include?(object[:Subtype])
end

jlduran

How big's your cloud? {-}

---

                    **Apple**    **Google**   **Microsoft**

---

Revenue[^1], $bn 34.6 22.3 58.4

Profit[^1], $bn 5.2 4.6 14.6

Market capitalisation 170.2 127.3 230.4

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:

Kartones

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

• -E: will describe the underlaying queries of the \ commands (cool for learning!)
• -l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

ryanfb

#!/bin/bash

PREFIX=$(basename "$1" .pdf)
if [ ! -z "$TESSERACT_FLAGS" ]; then
  echo "Picked up TESSERACT_FLAGS: $TESSERACT_FLAGS"
fi
echo "Prefix is: $PREFIX"
echo "Converting to TIFF..."
if command -v parallel >/dev/null 2>&1; then
  LAST_PAGE=$(($(pdfinfo "$1"|grep '^Pages:'|awk '{print $2}') - 1))

seyDoggy

(function () {
    'use strict';

    angular.module('myApp')
    .controller('SomeCtrl', SomeCtrl);

    SomeCtrl.$inject = ['$scope', '$http', ' alertService'];

    function SomeCtrl($scope, $http, alertService) {
        $http.put('http://some.url/user/44', {

robatron

Automatically Prepend a Jira Issue ID to Git Commit Messages

Use a git hook to match a Jira issue ID from the current branch, and prepend it to every commit message

Assuming the current branch contains a Jira issue ID, you can use a git hook script to prepend it to every commit message.

1. Create an empty commit-msg git hook file, and make it executable. From your project's root directory:

    install -b -m 755 /dev/null .git/hooks/commit-msg
   

2. Save the following script to the newly-created .git/hooks/commit-msg file: