#Jekyll Markdown Quick Reference
####Write in simply awesome markdown
layout: post
title: Markdown Style Guide
---
#Jekyll Markdown Quick Reference
####Write in simply awesome markdown
layout: post
title: Markdown Style Guide
---
#!/bin/bash | |
url=http://redefininggod.com | |
webarchive=https://web.archive.org | |
wget="wget -e robots=off -nv" | |
tab="$(printf '\t')" | |
additional_url=url.list | |
# Construct listing.txt from url.list | |
# The list of archived pages, including some wildcard url |
''' | |
Non-parametric computation of entropy and mutual-information | |
Adapted by G Varoquaux for code created by R Brette, itself | |
from several papers (see in the code). | |
This code is maintained at https://github.com/mutualinfo/mutual_info | |
Please download the latest code there, to have improvements and | |
bug fixes. |
/* | |
This example shows how you can use your data structure as a basis for | |
your Firebase security rules to implement role-based security. We store | |
each user by their Twitter uid, and use the following simplistic approach | |
for user roles: | |
0 - GUEST | |
10 - USER | |
20 - MODERATOR |
SLIDES := $(patsubst %.md,%.md.slides.pdf,$(wildcard *.md)) | |
HANDOUTS := $(patsubst %.md,%.md.handout.pdf,$(wildcard *.md)) | |
all : $(SLIDES) $(HANDOUTS) | |
%.md.slides.pdf : %.md | |
pandoc $^ -t beamer --slide-level 2 -o $@ | |
%.md.handout.pdf : %.md | |
pandoc $^ -t beamer --slide-level 2 -V handout -o $@ |
// Inspired by http://bulkan-evcimen.com/using_sequelize_migrations_with_an_existing_database | |
var Promise = require('bluebird'); | |
var fs = Promise.promisifyAll(require('fs')); | |
module.exports = { | |
up: function(migration, DataTypes, done) { | |
var db = migration.migrator.sequelize; | |
fs.readFileAsync(__dirname + '/initial.sql', {encoding: 'utf8'}) | |
.then(function(initialSchema) { | |
var tables = initialSchema.split(';'); |
#!/usr/bin/env python | |
from PySide.QtCore import * | |
from PySide.QtGui import * | |
import cv2 | |
import sys | |
class MainApp(QWidget): | |
def __init__(self): |
A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.
As it turns out, there are several open-source tools that allow for conversion between file types. Pandoc is one of them, and it's powerful. In fact, pandoc's website says "If you need to convert files from one markup format into another, pandoc is your swiss-army knife." But, although pandoc can convert from markdown into .docx, it doesn't work in the other direction.
""" | |
Simply display the contents of the webcam with optional mirroring using OpenCV | |
via the new Pythonic cv2 interface. Press <esc> to quit. | |
""" | |
import cv2 | |
def show_webcam(mirror=False): | |
cam = cv2.VideoCapture(0) |
This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.
Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:
getTweetsFor("domenic", function (err, results) {
// the rest of your code goes here.