tekacs

# Usage: show <local-port> <subdomain>
function show() {
    DOMAIN=".tekacs.com"
    REMOTE="$2$DOMAIN"
    ssh -tR 1080:127.0.0.1:$1 vps "sudo ssh -Nl \$USER -L $REMOTE:80:127.0.0.1:1080 localhost"
}

psychemedia

####DEPRECATED

# ABOUT:
# A script that grabs a list of the friends or followers of one or more folk on Google+,
# grabs a sample of their friends, and generates the resulting social graph

# USAGE:
# Requirements: networkx (see DEPENDENCIES)
# Configuration: see CONFIGURATION
# Output: files will be save to the reports directory

printminion

# This is a monkeyrunner jython script that opens a connection to an Android
# device and starts camera app and makes photos by touching the camerabutton.
#
# See http://developer.android.com/guide/developing/tools/monkeyrunner_concepts.html
#
# usage: monkeyrunner photo_monkey.py
#

# Imports the monkeyrunner modules used by this program
from com.android.monkeyrunner import MonkeyRunner, MonkeyDevice

pberkes

import os

from IPython.frontend.qt.console.rich_ipython_widget import RichIPythonWidget
from IPython.frontend.qt.kernelmanager import QtKernelManager
from IPython.frontend.qt.inprocess_kernelmanager import QtInProcessKernelManager
from IPython.kernel.zmq.ipkernel import Kernel
from IPython.kernel.inprocess.ipkernel import InProcessKernel
from IPython.lib import guisupport

jbenet

IPFS Tooling for datasets

Background

We need some tooling for a certain set of use cases around archival and dataset management. This tooling is for fitting how people work with large files and large datasets.

Grounding Assumptions

Basic grounding assumptions here:

• datasets are "large" (From GB to EB in size)

senko

#!/usr/bin/env python
#
# When triggered via a HTTP request, execute a command.
#
# Written by Senko Rasic <senko.rasic@goodcode.io>
# Released into Public Domain. Use it as you like.
#
# Usage: python trigger.py <host> <port> <key> <command>...
#
# HTTP GET and POST requests are supported. If you need more verbs or need

levibostian

Today, single page web apps are driving many websites that we use each and every day. Instead of having your browser request a new web page for each and every action you perform on a web page, single page web apps may load all in one request to smoothly and quickly transition with every action you perform.

When building single page web apps, you may decide to retrieve all of the HTML, CSS and Javascript with one single page load or dynamically load these resources as the user moves about your site. Either way, it can be a pain to bundle all of these assets together for the end user to download from your web server. This is where webpack comes into play.

webpack does all of the heavy lifting bundling all of your HTML, CSS and Javascript together. If you write your site all from scratch or depend on dependencies from npm, webpack takes care of packaging it all together for you. It has the ability to take your single page web app, cut out all of the code you don't need, then packa

cuibonobo

# settings
settings = {...}

# authentication
from eve.auth import TokenAuth
import requests
from flask import request, g
class TokenAuth(TokenAuth):
    def check_auth(self, token, allowed_roles, resource, method):
        # check token against user api

cyberbobs

import QtQuick 2.2

Item {
  id: root
  width: 24
  height: 24

  Rectangle {
    id: bar1
    x: 2

renchap

Prerequisites : the letsencrypt CLI tool

This method allows your to generate and renew your Lets Encrypt certificates with 1 command. This is easily automatable to renew each 60 days, as advised.

You need nginx to answer on port 80 on all the domains you want a certificate for. Then you need to serve the challenge used by letsencrypt on /.well-known/acme-challenge. Then we invoke the letsencrypt command, telling the tool to write the challenge files in the directory we used as a root in the nginx configuration.

I redirect all HTTP requests on HTTPS, so my nginx config looks like :

server {