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From Lisp to Clojure/Incanter and R An Introduction Shane M. Conway January 7 2010 Back to the Future The goal of this presentation is to draw some rough comparisons between Incanter and R. There has been a not insubstantial amount of discussion over the future of R. Oo Clojure has many more data types R is more of a DSL Tradeoffs Advantages Clojure runs on the JVM so it can reference any Java library and can be called by other languages on the JVM Clojure natively deals with...

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How to fill out from lisp to clojure

How to fill out from Lisp to Clojure:

01

Start by familiarizing yourself with the basics of Clojure syntax and semantics. This includes understanding the use of parentheses for function calls and the concept of immutable data structures.

02

Learn about the core data structures and functions in Clojure, such as vectors, maps, and sets. Familiarize yourself with their respective syntax and operations.

03

Understand the differences between Lisp and Clojure. While they share some similarities, Clojure has its own unique features and design principles. Pay attention to areas such as macros, namespaces, and concurrency.

04

Practice writing small programs or functions in Clojure. Start by translating simple Lisp code into Clojure, gradually tackling more complex tasks as your understanding improves.

05

Take advantage of the wealth of resources available for learning Clojure, such as online tutorials, books, and coding exercises. Join Clojure communities and participate in forums or chat groups to seek guidance and learn from experienced Clojure developers.

Who needs to move from Lisp to Clojure?

01

Programmers who are already familiar with Lisp and want to explore a more modern and practical Lisp dialect can benefit from moving to Clojure.

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Developers who are working on projects that require integration with the Java ecosystem can leverage Clojure's seamless interoperability with Java libraries and frameworks.

03

Individuals or organizations interested in functional programming and the benefits it offers, such as immutability, concurrency, and a focus on data transformation rather than mutable state, can find value in learning and using Clojure.

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Teams looking to improve the scalability and performance of their applications can leverage Clojure's built-in support for parallel processing and its ability to leverage multicore systems effectively.

Overall, anyone with an interest in Lisp and its concepts, as well as those seeking a modern, practical Lisp experience with robust tooling and ecosystem, can consider moving from Lisp to Clojure.

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