Skip to content

Instantly share code, notes, and snippets.

View guinslym's full-sized avatar

Guinslym guinslym

View GitHub Profile
@simonista
simonista / .vimrc
Last active June 17, 2025 14:36
A basic .vimrc file that will serve as a good template on which to build.
" Don't try to be vi compatible
set nocompatible
" Helps force plugins to load correctly when it is turned back on below
filetype off
" TODO: Load plugins here (pathogen or vundle)
" Turn on syntax highlighting
syntax on
@PWSdelta
PWSdelta / rspec_model_testing_template.rb
Last active June 12, 2025 15:08
Rails Rspec model testing skeleton & cheat sheet using rspec-rails, shoulda-matchers, shoulda-callbacks, and factory_girl_rails. Pretty much a brain dump of examples of what you can (should?) test in a model. Pick & choose what you like, and please let me know if there are any errors or new/changed features out there. Reddit comment thread: http…
# This is a skeleton for testing models including examples of validations, callbacks,
# scopes, instance & class methods, associations, and more.
# Pick and choose what you want, as all models don't NEED to be tested at this depth.
#
# I'm always eager to hear new tips & suggestions as I'm still new to testing,
# so if you have any, please share!
#
# @kyletcarlson
#
# This skeleton also assumes you're using the following gems:
@justincarroll
justincarroll / bootstrap-masonry-template.htm
Last active August 15, 2020 16:48
This is my template for using Masonry 3 with Bootstrap 3. For those of you who follow this gist a lot has changed since Bootstrap 2.
<!DOCTYPE HTML>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Bootstrap Masonry Template</title>
<link rel="stylesheet" href="http://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">
<link rel="stylesheet" href="style.css">
<link rel="stylesheet" href="http://fonts.googleapis.com/css?family=PT+Sans+Caption:400,700">
@JamesDullaghan
JamesDullaghan / digitalocean.md
Created July 6, 2013 20:54
Deploy rails app to digitalocean with nginx, unicorn, capistrano & postgres

Deploy Rails app to digitalocean with nginx, unicorn, capistrano & postgres

Create droplet of your liking (ubuntu 12.10 x32)

ssh to root in terminal with your server ip

ssh [email protected]

Add ssh fingerprint and enter password provided in email

@hzqtc
hzqtc / jdooxx.py
Last active December 16, 2015 08:59
Download Jiandan OOXX gallery. http://jandan.net/ooxx
#!/usr/bin/env python
# Example:
# curl -s http://jandan.net/ooxx | ./jdooxx.py -o 5 -r 2.0 -u | wget -nv -i -
# This will download all pictures with oo >= 5 in the last page of Jiandan OOXX.
import HTMLParser
import sys
import getopt
import sys
from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
exif_data = {}
info = image._getexif()
if info:
@thedod
thedod / README.md
Last active April 17, 2022 22:30
White House petition sigs by state
@maxivak
maxivak / send_data-send_file-remote-images-download
Created January 1, 2013 23:34
Rails. Download remote image as attachment in browser
# in controller
# for local files
send_file '/path/to/file', :type => 'image/jpeg', :disposition => 'attachment'
# for remote files
require 'open-uri'
url = 'http://someserver.com/path/../filename.jpg'
data = open(url).read
send_data data, :disposition => 'attachment', :filename=>"photo.jpg"
@damncabbage
damncabbage / Gemfile
Created December 14, 2012 05:00
Sinatra with rake db:create task taking configuration via a Heroku-style DATABASE_URL environment variable.
source :rubygems
gem 'rake'
gem 'sinatra'
gem 'activerecord'
gem 'sinatra-activerecord'
# Adapters
gem 'mysql2'
gem 'pg'
@npinto
npinto / cv2_detect.py
Created September 5, 2012 07:13
Simple face detection with OpenCV 'cv2' python bindings from 2.4.x
import cv2
import cv2.cv as cv
def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml',
scaleFactor=1.3, minNeighbors=4, minSize=(20, 20),
flags=cv.CV_HAAR_SCALE_IMAGE):
cascade = cv2.CascadeClassifier(cascade_fn)
rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor,