lfender6445

Pry Cheat Sheet

• Youtube Tutorial 2013

Command Line

• pry -r ./config/app_init_file.rb - load your app into a pry session (look at the file loaded by config.ru)
• pry -r ./config/environment.rb - load your rails into a pry session

Debugger

datatravelandexperiments

#include <curses.h>
#include <stdlib.h>
#include <time.h>

int b[32], *d=&b[16], q, v, y;

char*m[]={
  "CBA@GFEDKJIHONML",
  "@DHLAEIMBFJNCGKO",
  "LHD@MIEANJFBOKGC",

chaitanyagupta

Reader Macros in Common Lisp

This post also appears on lisper.in.

Reader macros are perhaps not as famous as ordinary macros. While macros are a great way to create your own DSL, reader macros provide even greater flexibility by allowing you to create entirely new syntax on top of Lisp.

Paul Graham explains them very well in [On Lisp][] (Chapter 17, Read-Macros):

The three big moments in a Lisp expression's life are read-time, compile-time, and runtime. Functions are in control at runtime. Macros give us a chance to perform transformations on programs at compile-time. ...read-macros... do their work at read-time.

wombat

// Create new configuration that specifies the error correction
Map<EncodeHintType, ErrorCorrectionLevel> hints = new HashMap<EncodeHintType, ErrorCorrectionLevel>();
hints.put(EncodeHintType.ERROR_CORRECTION, ErrorCorrectionLevel.H);

QRCodeWriter writer = new QRCodeWriter();
BitMatrix bitMatrix = null;
ByteArrayOutputStream baos = new ByteArrayOutputStream();

try {
    // Create a qr code with the url as content and a size of 250x250 px

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!

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

robulouski

#!/usr/bin/env python
#
# Very basic example of using Python and IMAP to iterate over emails in a
# gmail folder/label.  This code is released into the public domain.
#
# RKI July 2013
# http://www.voidynullness.net/blog/2013/07/25/gmail-email-with-python-via-imap/
#
import sys
import imaplib

ahendrix

function errexit() {
  local err=$?
  set +o xtrace
  local code="${1:-1}"
  echo "Error in ${BASH_SOURCE[1]}:${BASH_LINENO[0]}. '${BASH_COMMAND}' exited with status $err"
  # Print out the stack trace described by $function_stack  
  if [ ${#FUNCNAME[@]} -gt 2 ]
  then
    echo "Call tree:"
    for ((i=1;i<${#FUNCNAME[@]}-1;i++))

killercup

/*
 * I add this to html files generated with pandoc.
 */

html {
  font-size: 100%;
  overflow-y: scroll;
  -webkit-text-size-adjust: 100%;
  -ms-text-size-adjust: 100%;
}

tylerneylon

-- Two dashes start a one-line comment.

--[[
     Adding two ['s and ]'s makes it a
     multi-line comment.
--]]

----------------------------------------------------
-- 1. Variables and flow control.
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