Rick Farmer (@rickfarmer)
  • Stars
    star
    158
  • Global Rank 147,861 (Top 6 %)
  • Followers 93
  • Following 22
  • Registered almost 13 years ago
  • Most used languages
    Ruby
    42.9 %
    HTML
    14.3 %
    C
    14.3 %
    Java
    14.3 %
    Shell
    14.3 %

Top repositories

1

android-vm

Automated provisioning and configuration of an Ubuntu VM containing the Android development environment, including Android ADT Bundle with SDK, Eclipse & the Android NDK using the Vagrant DevOps tool with Chef and shell-scripts.
Shell
103
star
2

tether

Internet tether proxy for iOS and Android. Internet connection sharing for iPhone, iPad, and Android. Share your phones internet connection with other devices including your PC or Mac. This is a simplified, cross-platform implementation of a wi-fi tethering web proxy for sharing internet connections from your iOS or Android devices.
C
36
star
3

data-science-vm

A Big Data Analytics VM for doing Data Science. It provides a huge kickstart to those working with the Big Data Analytics side of Data Science. Essentially, this project automates the creation of the Big Data Scientist's toolbox on a virtual machine (VM). In a few minutes one can begin working with a fully configured data science lab instead of performing the complex installations and configuration required for a functioning development environment. The Data Scientist's VM includes R, Git, Python, Cloudera, Hadoop, YARN, MRv2, Mahout, MongoDB, Spark, Neo4j, etc. pre-installed. The Data Scientist's Toolbox VM is automatically built for you on a single CentOS VM using the Vagrant DevOps tool with Chef and shell-scripts for VMware Fusion.
Ruby
10
star
4

bin

OS X dotfiles for custom shell configuration
Ruby
2
star
5

big-data-wordcount

A simplified starter project for Big Data Analytics/Big Data Science with Hadoop Yarn. Integrated with Spring Boot and Spring for Hadoop to provide a unified configuration model and access to easy to use APIs for using HDFS, MapReduce, Pig, and Hive with built-in local deployment. Yes, you heard right -- there is no need to have a Hadoop cluster running to test your code! This project will spin up Hadoop on demand for you locally and then spin it back down after running your MapReduce code.
Java
2
star
6

packer-vcenter

A packer script to build vCenter Server Appliances for Vagrant
1
star
7

worlds-simplest-cloud-foundry-app

The world's simplest Cloud Foundry app. You can't get any easier than this!
HTML
1
star
8

cloud-foundry-vm

The Cloud Foundry VM is a simple way to spin up a complete development instance quickly in a self-contained VM capable of running Pivotal CF.
Ruby
1
star