dmitriy-kiriyenko

# put the file into spec/support
shared_examples_for "ActiveModel" do
  include ActiveModel::Lint::Tests

  # to_s is to support ruby-1.9
  ActiveModel::Lint::Tests.public_instance_methods.map{|m| m.to_s}.grep(/^test/).each do |m|
    example m.gsub('_',' ') do
      send m
    end
  end

James1x0

import Ember from 'ember';
import windowBinderMixin from '../mixins/window-binder';

export default Ember.View.extend(windowBinderMixin, {
  templateName: 'scroll-spy',
  classNames: [ 'scroll-spy-view', 'affix' ],

  // Bind the window events on view insertion
  didInsertElement: function () {
    this.setupWindowBindings();

giantryansaul

Installing Jupyter notebook to AWS

This is an early draft of this guide, which currently does not include any screenshots. I may be making a lot of assumptions about what you do or do not know in this guide and so I welcome any constructive criticism to help make it more useful. Please feel free to fork this guide and annotate it where it does not work, I would welcome any pull requests to improve this documentation.

Setup amazon linux server (free tier)

• From Amazon's EC2 page, go to Launch Instance
• Choose an Amazon Linux 64-bit server and continue
• Select t2.micro (this is the free tier)
• Continue to the Add Storage page and adjust this up to 30GB if you're so inclined (default is 8GB, which is plenty)
• Tag your instance with a name like "notebook"

dwhacks

For speed I used the formula:

delay = 725 * .85 ^ level + level

Where delay is the time (in milliseconds) before the block falls one row -- That equation reaches its minimum at level 30 (35.5 ms delay) and begins to climb again until delay = level (basicly the game slows down about 6ms per drop by level 41). However, I was modeling a certain behavior, and you might have better performance with a more general equation:

delay = delay_at_level_0 / (level + 1)

Where delay_at_level_0 is a constant 

ericrobskyhuntley

Multi-Service Geocoder

This Python script utilizes the GeoPy geocoding library to batch geocode a number of addresses, using various services until a pair of latitude/longitude values are returned. Python 3 port and refactor of a script by @rgdonohue.

https://gist.github.com/ericmhuntley/0c293113aa75a254237c143e0cf962fa

Built to anticipate an input csv should that includes columns named street, city, state, country.

Usage Example

simonster

        .-"-._( ) )
       /  ,  ,  66\
`======\   )_\\=\_o)=   
        `~~"~ `"

shentonfreude

#!/usr/bin/env python

# An exponential backoff around Boto3 DynamoDB, whose own backoff eventually
# fails on long multipage scans. We'd like to use this as a wrapper somehow,
# see: https://gist.github.com/numberoverzero/cec21b8ca715401c5662

from time import sleep

import boto3
from boto3.dynamodb.conditions import Attr

derEremit

#!/usr/bin/env bash
# Generates gource video (h.264) out of multiple repositories.
# Pass the repositories in command line arguments.
# Example:
# <this.sh> /path/to/repo1 /path/to/repo2

RESOLUTION="1600x1080"
outfile="gource.mp4"

i=0

oscarmorrison

<img src="img/missing-image.png" onerror="javascript:this.src='img/default.png'">

gbuesing

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG