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Event-Driven Programming in Clojure
Zach Tellman explains how to deal with asynchronous programming difficulties in Clojure using an event-driven data structure.
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The Mapping Dilemma
David Nolen critiques the tools, languages and methodologies used today from the perspective of solving the “mapping dilemma”, introducing match, a pattern matching library for Clojure.
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Clojure and the Web
Glenn Vanderburg discusses how Clojure helps creating web applications, focusing on Ring, Compojure, and how a functional language can be used to generate HTML and XML.
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Clojure: Towards The Essence Of Programming
Howard Lewis Ship talks about Clojure, a language more concise, testable, and readable than Java, letting the developer to focus on his work rather than a verbose syntax.
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Clojure: The Art of Abstraction
Alex Miller presents some of the abstractions that make Clojure a great language: Collections, Sequence and Higher Order Functions, Multimethods, Protocols, Atoms, Macros, and others.
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Perception and Action: An Introduction to Clojure's Time Model
Stuart Halloway discusses how we use a total control time model, proposing a different one that represents the world more accurately helping to solve some of the concurrency and parallelism problems.
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Monads Made Easy
Jim Duey demystifies monads through code examples written in Clojure, explaining what monads are, how they are used and how to write one.
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Clojure-Java Interop: A Better Java than Java
Stuart Dabbs Halloway reviews Clojure’s syntax and explains how Clojure-Java interop works. He then talks about simplicity, attempting to prove that Clojure is a simpler and better language than Java.
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Panel: The Future of Programming Languages
Guy Steele, Douglas Crockford, Josh Bloch, Alex Payne, Bruce Tate, and Ted Neward (moderator) hold a discussion on the future of programming taking questions from the audience.
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Clojure's Solutions to the Expression Problem
Chris Houser presents the expression problem showing how to solve it using multimethods and protocols in Clojure, mentioning pros and cons of each method.
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Functional Approaches To Parallelism and Concurrency
Don Syme on functional languages features, showing why and when they are useful for parallel programming: simplicity, composability, immutability, lightweight reaction, translations, data parallelism.
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Functional Languages 101: What’s All the Fuss About?
Rebecca Parsons makes an basic introduction to functional languages, explaining how to think in a functional language, why is there renewed interested in them, and some nifty things about them.
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