pudquick

import os, os.path, sys, urllib2, requests

class PyPiError(Exception):
    def __init__(self, value):
        self.value = value
    def __str__(self):
        return repr(self.value)

def _chunk_report(bytes_so_far, chunk_size, total_size):
    if (total_size != None):

vdel26

#### SETTINGS
NGINXDIR     = /usr/local/openresty/nginx/
NGXCONF      = nginx_dummycustomer.conf
USER         = ubuntu
REMOTE       = ec2-54-224-138-186.compute-1.amazonaws.com
REMOTEDIR    = /home/$(USER)/dummycustomer/
PRIVATEKEY   = /Users/victordg/.ssh/aws/vdg-3scale.pem
####

willprice

# Ruby is our language as asciidoctor is a ruby gem.
lang: ruby
before_install:
  - sudo apt-get install pandoc
  - gem install asciidoctor
script:
  - make
after_success:
  - .travis/push.sh
env:

mndrake

#!/usr/bin/python
# Filename: sas_export.py
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 06 18:40:09 2015
@author: David Carlson
modified version for sas7bdat 2.0.1 of Charlie Huang version at:
http://www.sasanalysis.com/2014/08/python-extension-functions-to-translate.html
"""

ttscoff

copy() {
	if [[ $1 =~ ^-?[hH] ]]; then

		echo "Intelligently copies command results, text file, or raw text to"
		echo "OS X clipboard"
		echo
		echo "Usage: copy [command or text]"
		echo "  or pipe a command: [command] | copy"
		return
	fi

sauljackman

## Install packages if you don't already have them
install.packages(c("stringr", "igraph"), dependencies = TRUE)

## Load the packages
library(stringr)
library(igraph)

## Read in the data
queries <- read.csv("~/Downloads/queries.csv")
tables <- read.csv("~/Downloads/tables.csv")

wch

library(shiny)

# Example usage:
# lmGadget(mtcars, "wt", "mpg")
#
# Returns a list with two items:
#   $data: Data with excluded rows removed.
#   $model: lm (model) object.
lmGadget <- function(data, xvar, yvar) {
  library(miniUI)

ttscoff

#!/bin/bash
# dontforget
#
# A stupid script for short term reminders in bash
#
# Arguments just need to contain a number and a bunch of words.
#
# The number can be anywhere in the arguments, but there shouldn't
# be any other numeric digits.
#

dannguyen

Using IBM Watson Speech to Text API to translate a ProPublica podcast

An example of using the Watson Speech to Text API to translate a podcast from ProPublica: How a Reporter Pierced the Hype Behind Theranos

This is just a simpler demo of the same technique I demonstrate to make automated video supercuts in this repo: https://github.com/dannguyen/watson-word-watcher

The transcription takes just a few minutes (less if you parallelize the requests to IBM) and is free...but it isn't perfect by any means. It doesn't fare super well on proper nouns:

• Charles Ornstein's last name is transcribed as Orenstein
• John Carreyrou's last name becomes John Kerry Roo

hannes

# rm -r /tmp/hmda

install.packages("MonetDBLite")
library(DBI)

dbdir <- "/tmp/hmda"
con <- dbConnect(MonetDBLite::MonetDBLite(), dbdir)

# download at http://homepages.cwi.nl/~hannes/hmda.rds
dd <- readRDS("/tmp/hmda.rds")