Aditya Sahay adsahay

How to share a folder with a docker container on OSX

Mounting shared folders between OSX and the docker container is tricky due to the intermediate boot2docker VM. You can't use the usual docker -v option as the docker server knows nothing about the OSX filesystem - it can only mount folders from the boot2docker filesystem. Fortunately, you can work around this using SSHFS.

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

Usage

Install cordova into `node_modules`

npm install cordova

Add `icons_and_splash.js`

nginx 403 Forbidden Error hosting in User Home Directory

resources

runtime environment

Build your own private, encrypted, open-source Dropbox-esque sync folder

Prerequisites:

One or more clients running a UNIX-like OS. Examples are given for Ubuntu 12.04 LTS, although all software components are available for other platforms as well (e.g. OS X). YMMV
A cheap Ubuntu 12.04 VPS with storage. I recommend Backupsy, they offer 250GB storage for $5/month. Ask Google for coupon codes.

Software components used:

Unison for file synchronization
EncFS for folder encryption

	var underscore = require('underscore')
	var mongoose = require('mongoose');
	mongoose.connect('mongodb://localhost/convflowdev_trial');

	console.log("chal para");
	var db = mongoose.connection;
	db.on('error', console.error.bind(console, 'connection error:'));
	db.once('open', function callback () {
	// yay!
	});

	import unittest
	from similar_users_update_with_user_network import select_no_of_users, count_keywords, network_participants, user_activity_count, find_similiar_problems, distribute_list_and_count_activity_index
	from bson.objectid import ObjectId
	from db_entries import all_problems, all_users
	import datetime
	from pymongo import MongoClient

	client = MongoClient('localhost',27017)
	db = client['convflowdev_trial_new']
	problems = db['problems']

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	angular.module('testApp', []).
	directive('lazyLoad', ['$window', '$q', function ($window, $q) {
	function load_script() {
	var s = document.createElement('script'); // use global document since Angular's $document is weak
	s.src = 'https://maps.googleapis.com/maps/api/js?sensor=false&callback=initialize';
	document.body.appendChild(s);
	}
	function lazyLoadApi(key) {
	var deferred = $q.defer();
	$window.initialize = function () {

	import boto
	import boto.s3

	import os.path
	import sys

	# Fill these in - you get them when you sign up for S3
	AWS_ACCESS_KEY_ID = ''
	AWS_ACCESS_KEY_SECRET = ''
	# Fill in info on data to upload