Vincent C Fulco vfulco

I self identify as Yoda

vfulco / server.R

Created February 14, 2017 23:26 — forked from trestletech/server.R

A Shiny app combining the use of dplyr and SQLite. The goal is to demonstrate a full-fledged, database-backed user authorization framework in Shiny.


	library(shiny)
	library(dplyr)
	library(lubridate)

	# Load libraries and functions needed to create SQLite databases.
	library(RSQLite)
	library(RSQLite.extfuns)
	saveSQLite <- function(data, name){
	path <- dplyr:::db_location(filename=paste0(name, ".sqlite"))

vfulco / input.Rnw

Created February 8, 2017 23:29 — forked from yihui/input.Rnw

use knitr (knit2pdf) to generate a PDF report in a Shiny app

vfulco / bcl-process.R

Created February 6, 2017 03:30 — forked from daattali/bcl-process.R

Process BC Liquor Store data

	library(dplyr)
	rawDataUrl <- "http://pub.data.gov.bc.ca/datasets/176284/BC_Liquor_Store_Product_Price_List.csv"
	bcl <- read.csv(rawDataUrl, stringsAsFactors = FALSE)
	products <- c("BEER", "REFRESHMENT BEVERAGE", "SPIRITS", "WINE")
	bcl <- dplyr::filter(bcl, PRODUCT_CLASS_NAME %in% products) %>%
	dplyr::select(-PRODUCT_TYPE_NAME, -PRODUCT_SKU_NO, -PRODUCT_BASE_UPC_NO,
	-PRODUCT_LITRES_PER_CONTAINER, -PRD_CONTAINER_PER_SELL_UNIT,
	-PRODUCT_SUB_CLASS_NAME) %>%
	rename(Type = PRODUCT_CLASS_NAME,
	Subtype = PRODUCT_MINOR_CLASS_NAME,

vfulco / server.R

Created February 3, 2017 15:46 — forked from daroczig/server.R

Markdown preview via shiny, pandoc and rmarkdown

	library(shiny)
	library(rmarkdown)

	shinyServer(function(input, output) {

	output$html = reactive({

	t <- tempfile()
	cat(input$markdown, file = t)

vfulco / bitbucket_ci.php

Created February 3, 2017 02:41 — forked from pawitp/bitbucket_ci.php

Poor man's CI with bitbucket

	<?php
	error_reporting(E_ALL \| ~E_NOTICE);

	// Config
	$url = "https://bitbucket.org/USERNAME/PROJECT/get/master.zip";
	$user = "USERNAME";
	$pass = "PASSWORD";
	$tempfile = "thinkbox-ci.zip";
	$target = "./";
	$access_key = "ACCESS_KEY";

vfulco / letter.latex

Created January 27, 2017 01:18 — forked from jgm/letter.latex

pandoc letter template

	\documentclass[letter,$if(fontsize)$$fontsize$,$else$10pt,$endif$$if(lang)$$lang$,$endif$$if(papersize)$$papersize$,$endif$]{ucbletter}
	\usepackage[T1]{fontenc}
	\usepackage{mathpazo}
	\usepackage{amssymb,amsmath}
	\linespread{$if(linespread)$$linespread$$else$1.1$endif$}
	\usepackage{ifxetex,ifluatex}
	\usepackage{fixltx2e} % provides \textsubscript
	% use upquote if available, for straight quotes in verbatim environments
	\IfFileExists{upquote.sty}{\usepackage{upquote}}{}
	\ifnum 0\ifxetex 1\fi\ifluatex 1\fi=0 % if pdftex

vfulco / Dockerfile

Created May 13, 2016 02:38 — forked from yefim/Dockerrun.aws.json

Build a Docker image, push it to AWS EC2 Container Registry, then deploy it to AWS Elastic Beanstalk

	# Example Dockerfile
	FROM hello-world

vfulco / s3_presign.py

Created January 28, 2016 12:56 — forked from mdwhatcott/s3_presign.py

Generate a pre-signed S3 URL (valid for 20 years) with nothing but the standard library.

	#!/usr/bin/env python

	"""
	Generates a pre-signed S3 URL using a valid key pair that lasts for 20 years.

	Reference: http://forrst.com/posts/Python_method_for_creating_authenticated_s3_URLs-uUM
	"""


	import base64, hmac, os, sha, sys, time, urllib

vfulco / signed_url.py

Created January 25, 2016 06:47 — forked from richarvey/signed_url.py

Generate signed URL's for S3 objects from the command line (requires .boto file for credentials)

	#!/usr/bin/python

	import boto, argparse

	parser = argparse.ArgumentParser()
	parser.add_argument('-b','--bucket', help='Name of your S3 Bucket', required=True)
	parser.add_argument('-o','--object', help='Name of the object + prefix in your bucket', required=True)
	parser.add_argument('-t','--time', type=int, help='Expirery in seconds Default = 60', default=60)
	args = vars(parser.parse_args())

vfulco / flask.py

Created January 20, 2016 13:03 — forked from kageurufu/flask.py

Flask-WTF FieldLists with Dynamic Entries

	from flask import Flask
	from flask.ext.sqlalchemy import SQLAlchemy
	from flask.ext.wtf import Form
	from flask.ext.babel import gettext
	from wtforms import SelectField, TelField, TextField, FormField, Fieldlist, SubmitField
	from wtforms.validators import Optional, Required

	app = Flask(__name__)
	db = SQLAlchemy(app)