This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.
To capture the video (filesize: 19MB), using the free "QuickTime Player" application:
/* | |
* Copyright (c) 2010 Tobias Schneider | |
* This script is freely distributable under the terms of the MIT license. | |
*/ | |
(function(){ | |
var UPC_SET = { | |
"3211": '0', | |
"2221": '1', | |
"2122": '2', |
# This script watches for changes in a document and constantly resaves a file | |
# with the document's contents. | |
# | |
# Usage: coffee saver.coffee -d <DOCNAME> [--url http://somehost:8000/sjs] [-f filename] | |
client = require('share').client | |
fs = require('fs') | |
argv = require('optimist') | |
.usage('Usage: $0 -d docname [--url URL] [-f filename]') |
body { | |
font: 12px verdana; | |
background-color: #5C87B2; | |
} | |
form { | |
max-width: 400px; | |
padding: 15px; | |
background-color: white; | |
} |
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
#! /usr/bin/env python2 | |
# Requires: PIL, colormath | |
# | |
# Improved algorithm now automatically crops the image and uses much | |
# better color matching | |
from PIL import Image, ImageChops | |
from colormath.color_conversions import convert_color | |
from colormath.color_objects import LabColor | |
from colormath.color_objects import sRGBColor as RGBColor |
Note: this is a work-in-progress and will be updated with more information over the next few days.
This guide will walk you through deploying your own instance of the open-source Parse Server. This would be a good starting point for testing your existing application to see if the functionality provided by the server is enough for your application, and to potentially plan your migration off the Parse Platform.
This guide will walk you through using Elastic Beanstalk (EB), which is an AWS service similar to Heroku. Why use EB rather than Heroku? Elastic Beanstalk does not lock you into Heroku-specific ways of doing things, is likely cheaper to run your backend on than Heroku, and it integrates with other services that AWS offer (and they offer almost everything one needs to run an application these days).
[ { "constant": true, "inputs": [], "name": "name", "outputs": [ { "name": "", "type": "string", "value": "MicroDAO" } ], "type": "function" }, { "constant": false, "inputs": [], "name": "executeSpendingRequests", "outputs": [], "type": "function" }, { "constant": false, "inputs": [ { "name": "number_of_days", "type": "uint256" }, { "name": "requiredShares", "type": "uint256" } ], "name": "setDirectorLock", "outputs": [], "type": "function" }, { "constant": true, "inputs": [ { "name": "", "type": "uint256" } ], "name": "bookings", "outputs": [ { "name": "time", "type": "uint256" }, { "name": "funding", "type": "uint256" }, { "name": "spending", "type": "uint256" }, { "name": "counterpart", "type": "address" }, { "name": "text", "type": "string" } ], "type": "function" }, { "constant": false, "inputs": [], "name": "closeFunding", "outputs": [], "type": "function" }, { "constant": false, "inputs": [ { "name": "node", "type": "string" } ], "name": "setDirectorNode", "outputs": [], "type": "function" }, { "consta |
The shipment tracking REST API allows you to create, view, and delete individual shipment tracking. The endpoint is /wp-json/wc/v1/orders/shipment-trackings
.
Attribute | Type | Description | |
---|---|---|---|
tracking_id | string | Unique identifier for shipment tracking | read-only |
tracking_number | string | Tracking number | required |
// e.g. console.save({hello: 'world'}) | |
(function(console){ | |
console.save = function(data, filename){ | |
if(!data) { | |
console.error('Console.save: No data') | |
return; | |
} | |
if(!filename) filename = 'console.json' | |
if(typeof data === "object"){ | |
data = JSON.stringify(data, undefined, 4) |