- Does the code work?
- Description of the project status is included.
- Code is easily understand.
- Code is written following the coding standarts/guidelines (React in our case).
- Code is in sync with existing code patterns/technologies.
- DRY. Is the same code duplicated more than twice?
learncodeacademy
/ gist:5f84705f2229f14d758d
Last active
July 16, 2024 04:56
Getting Started with Vagrant, SSH & Linux Server Administration
###Let's install Vagrant###
- Install VirtualBox: https://www.virtualbox.org/
- Install Vagrant: http://vagrantup.com/
###Select a Vagrant Box from https://vagrantcloud.com###
#add it to your list of boxes
vagrant box add hashicorp/precise32
#create a new folder for your project & init vagrant
This tutorial guides you through creating your first Vagrant project.
We start with a generic Ubuntu VM, and use the Chef provisioning tool to:
- install packages for vim, git
- create user accounts, as specified in included JSON config files
- install specified user dotfiles (.bashrc, .vimrc, etc) from a git repository
Afterwards, we'll see how easy it is to package our newly provisioned VM
entaroadun
/ gist:1653794
Created
January 21, 2012 20:10
Recommendation and Ratings Public Data Sets For Machine Learning
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html