Brett Hardin bhardin

OS X Screencast to animated GIF

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:

start new:

tmux

start new with session name:

tmux new -s myname

	### Keybase proof

	I hereby claim:

	* I am bhardin on github.
	* I am bretthardin (https://keybase.io/bretthardin) on keybase.
	* I have a public key whose fingerprint is 3BCB B264 8E38 785F 63A5 CF30 B4EF 287D F5E9 AE04

	To claim this, I am signing this object:

	#!/bin/bash
	#attach the EBS to /dev/sdf before running it

	# If not mounted... format EBS
	mkfs -t ext4 /dev/xvdb
	mkdir /mnt/new
	mount /dev/xvdb /mnt

	#copy original /var to /dev/xvdb
	sudo cp -ax /var/* /mnt

	# app/some_cool_app/tasks.py
	@celery_app.task(bind=True, queue=’whenever’)
	def a_long_running_process(self):
	process = LongRunningProcess()
	process.run()

	import logging

	from myapp.celery_config import celery_app
	from myapp.corporations.models import Corporation

	logger = logging.getLogger()


	@celery_app.task(
	name='analytics.update_corporation_data',

	from celery.schedules import crontab
	from myapp.common import constants

	ALL = 'all'

	tasks = {
	# Tasks that should be run in all environments
	ALL: {},

	# Tasks that should be run on production

	### MORE CODE ABOVE THIS ###

	from datetime import timedelta

	'add-every-30-seconds': {
	'task': 'tasks.update_something',
	'schedule': timedelta(seconds=30),
	'args': (16, 16)
	},

	from github import Github
	import os
	import sys

	release = str(sys.argv[1])

	# or using an access token
	GITHUB_ACCESS_TOKEN = os.environ['GITHUB_ACCESS_TOKEN']
	g = Github(GITHUB_ACCESS_TOKEN)
	FEATURES = 'Feature'

	with
	dau as (
	-- This part of the query can be pretty much anything.
	-- The only requirement is that it have three columns:
	-- dt, user_id, inc_amt
	-- Where dt is a date and user_id is some unique identifier for a user.
	-- Each dt-user_id pair should be unique in this table.
	-- inc_amt represents the amount of value that this user created on dt.
	-- The most common case is
	-- inc_amt = incremental revenue from the user on dt