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Testing C# and ASP.Net Applications Using Ruby
Ben Hall shows how Ruby testing tools can help with .NET and ASP.NET development and takes a look at RSpec, Webrat, Cucumber, Selenium and others. Also: a peek at using IronRuby for testing .NET apps.
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Grails For Spring Developers
Beside doing an overview of the Grails framework, Jeff Brown shows how to write a Spring-integrated application in Grails with Beans, DI, Spring MVC, DB transaction management and remoting.
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Basking in the Limelight
Micah Martin introduces Limelight, a JRuby GUI library that uses the theater metaphor for writing GUIs. The talk introduces basic concepts, how to style GUIs, and much more.
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Design Your Own DSL with Groovy
Guillaume Laforge explains what makes Groovy to be better suited to create a DSL: closures, meta-programming, operator overloading, named arguments, demonstrating how to write a DSL in Groovy.
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Industrial Strength Groovy
Paul King presents some of the tools helping one programming in Groovy: Cobertura, CodeNarc, EasyB, GroovyDoc, GroovyMock/Spock, Hudson, Maven/Ant/Gant/Gradle, OSGi, and Spring/Guice.
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QCon SF Keynote: Techie VC's Talk About Trends & Opportunities
Kevin Efrusy and Salil Deshpande talk about what makes a business successful or not, presenting three actual cases they have been involved with: Hyperic, G2One, SpringSource.
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Rails in the Large: How Agility Allows Us to Build One Of the World's Biggest Rails Apps
Neal Ford shows what ThoughtWorks learned from scaling Rails development: infrastructure, testing, messaging, optimization, performance.
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Rails 3
Yehuda Katz explains Rails 3: the performance improvements, the new architecture, the influence of Merb, and much more. Also: a look at the Bundler tool.
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The State and Future of JavaScript
Douglas Crockford talks on the history of JavaScript unveiling some of the struggles the Ecma Technical Committee has had in advancing the language over the years, concluding with lessons learned.
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JRuby: You've Got Java in my Ruby
Tom Enebo explains reasons for choosing JRuby: Hotspot optimizations, JVM Garbage Collectors, tools like profilers. Also: how JRuby helps to write cleaner, more expressive code with Java libraries.
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Exploring Dynamism
Allison Randal discusses what dynamic means, the static/dynamic spectrum, dynamic typing, dynamic dispatch, introspection, dynamic compilation and loading, and differences between static and dynamic.
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Evolving the Key/Value Programming Model to a Higher Level
Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.
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