This guide was written because I don't particularly enjoy deploying Phoenix (or Elixir for that matter) applications. It's not easy. Primarily, I don't have a lot of money to spend on a nice, fancy VPS so compiling my Phoenix apps on my VPS often isn't an option. For that, we have Distillery releases. However, that requires me to either have a separate server for staging to use as a build server, or to keep a particular version of Erlang installed on my VPS, neither of which sound like great options to me and they all have the possibilities of version mismatches with ERTS. In addition to all this, theres a whole lot of configuration which needs to be done to setup a Phoenix app for deployment, and it's hard to remember.

For that reason, I wanted to use Docker so that all of my deployments would be automated and reproducable. In addition, Docker would allow me to have reproducable builds for my releases. I could build my releases on any machine that I wanted in a contai

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

Getting started:

• http://www.sqlteaching.com/
• https://www.codecademy.com/courses/learn-sql

Related tutorials:

• MySQL-CLI
• Analyzing Business Metrics

This guide setup Apache2/Passenger/Ruby/Rails on a CentOS 6.4 LiveCD.
You can test it yourself using VirtualBox to run all the scripts - read VirtualBox.md for more info.

# install the necessary libraries
yum clean all
yum -y update
yum -y install curl-devel git sqlite-devel libxml2-devel
yum -y install libxml2 libxml2-devel libxslt libxslt-devel
yum -y install gcc-c++ readline-devel libyaml-devel libffi-devel openssl-devel libtool bison

• Dynamic Dispatch
• Dynamic Method
• Ghost Methods
• Dynamic Proxies
• Blank Slate
• Kernel Method
• Flattening the Scope (aka Nested Lexical Scopes)
• Context Probe
• Class Eval (not really a 'spell' more just a demonstration of its usage)
• Class Macros

Bootstrap 3.0 gives you access to the awesome icon set icon set by these dudes but it's not obvious for a Rails newbie like myself to get it all working together nicely

1. Download the bootstrap-glyphicons.css from here. Save that file to RAILS_ROOT/vendor/assets/stylesheet/bootstrap-glyphicons.css
2. Save all the font files in /dist/fonts from the Bootstrap 3.0 download to a new folder in your Rails app RAILS_ROOT/vendor/assets/fonts
3. Add this folder to the asset pipeline by appending config.assets.paths << Rails.root.join("vendor","assets", "fonts") to application.rb after the line that has class Application < Rails::Application.
4. In bootstrap-glyphicons.css modify the the `url