vfulco

# Example Dockerfile
FROM hello-world

m-Py

# This function reads a Rmd file and returns the word count 
# It uses the wordcountaddin and koRpus packages
text_stats_file <- function(rmdFile) {
  rmd <- file(rmdFile, "rt")
  text <- readLines(rmd)
  conText <- ""
  for (i in text) {
    conText <- paste(conText, i)
  }
  close(rmd)

yefim

{
  "AWSEBDockerrunVersion": "1",
  "Image": {
    "Name": "<AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/<NAME>:<TAG>",
    "Update": "true"
  },
  "Ports": [
    {
      "ContainerPort": "443"
    }

sandys

# first install mailR. It is a bit funky to install this because of the dependency on rJava
#First install java
### sudo add-apt-repository ppa:webupd8team/java
### sudo apt-get update
###     sudo apt-get install oracle-java8-installer

#now you can install mailR. The assumption is that java is in /usr/lib/jvm/jdk1.8.0_66/. Check if a newer version has changed the directory
sudo JAVA_HOME=/usr/lib/jvm/jdk1.8.0_66/  R CMD javareconf 
sudo JAVA_HOME=/usr/lib/jvm/jdk1.8.0_66/  Rscript -e 'install.packages(c("mailR"), .Library.site[1], repos="http://cran.us.r-project.org", dependencies=TRUE)'

vpnagraj

---
title: "MOMA"
author: "VP Nagraj"
date: "February 29, 2016"
output: html_document
runtime: shiny
---

The Museum of Modern Art (MOMA) collection database is publicly available via Github: 

kmctown

Running Dokku on DigitalOcean

Notes on spinning up a new dokku server on DO. Inspired by this blog post by Bryan Kennedy.

Spin up

Pick a droplet

Choose the Dokku 1-click app

jbryer

# This script is modified by Jason Bryer ([email protected]) from Huidong Tian's 
# original script. The blog post describing the method is here:
# http://withr.me/authentication-of-shiny-server-application-using-a-simple-method/ 
# The original R script is located here: https://gist.github.com/withr/9001831
#
# This script adds two new features: 1. Render a logout button, and 2. provide
# the ability for visitors to create a new account.
#
# Within your server.R file, be sure to use:
# 

vfulco

#!/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

# preliminaries
from pymongo import MongoClient
from nltk.corpus import stopwords
from string import ascii_lowercase
import pandas as pd
import gensim, os, re, pymongo, itertools, nltk, snowballstemmer

# set the location where we'll save our model
savefolder = '/data'

agconti

Trello

Power tips for power people

• Text formatting with markdown
• Create cards by email
• Google Calendar Integration
• Pro Checklists with Trello
• Upload files from Google Drive
• Drag, drop, and paste attachments
• Keyboard Shortcuts