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Episode #46 - January 29, 2010

2416793a63b63c656da7f264db907297.jpg?s=18&r=pg&d=http%3a%2f%2fwww.gravatar.com%2favatar%2f8ebf4339f7c8cd73b53d1d1d3eba7c35 Jim Hoskins 3ac3c66144bb3f7330af9fb6ab64d8a2.jpg?s=18&r=pg&d=http%3a%2f%2fwww.gravatar.com%2favatar%2f8ebf4339f7c8cd73b53d1d1d3eba7c35 Nick Pettit

Classifier, ActionMailer in Rails 3, and ActsAsSolrReloaded are covered in this Friday episode. Also, we go over Dirty Associations and RVM. And finally, Nick and Jim say farewell to Ruby5.

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This episode is sponsored by Heroku. Instantly deploy and scale your Ruby application.

  • Heroku
  • Classifier
  • ActionMailer
  • ActsAsSolrReloaded
  • Dirty Associations
  • RVM
  • Farewell
  • Ruby5

Bayesian Classification with Classifier Jump to Story

Logan Koester has an awesome article on performing Bayesian Classification on Rails. Bayesian Classification is a way to teach a program how to classify abstract objects, by training it with existing material and classifications. This is the kind of thing your spam filter does.

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Enforcing your environment with ENVied, easier payment integration with Payola, faster logic with pippi, multithreading in MRI, and Practicing Rails.

October 21st, 2014

Aimee and Nate talk about UltraHook, Using Capybara in Integration Tests, Background Processing with Einhorn, Barcelona Ruby Conf Top 5, and Raptor.

October 16th, 2014

Unary Operators, Writing fast Ruby, each_with_object, ES6 Transpiler and HStore

October 14th, 2014

RailsRumble, Ruby Motion for Rails devs, how Ruby Hashes work, how to deal with data migrations, clean up your routes file, and get better logs.