JavaScriptとLisp
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The document discusses the origins and similarities between JavaScript and functional programming languages like Scheme and Lisp. It notes that JavaScript functions can be treated as first-class objects like lambdas, it has closures, and its data structures like arrays are flexible and can simulate S-expressions found in Lisp. While JavaScript syntax uses curly braces like C, its treatment of functions and data structures bears more resemblance to Scheme and Lisp.
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I know Java, why should I consider Clojure?sbjug The document introduces Clojure as a powerful JVM language, especially for Java developers, highlighting its advantages such as simplicity and functional programming capabilities. It covers Clojure's features like immutable data structures, concurrency support, and seamless Java interop, along with its unique Lisp characteristics. The author emphasizes the rationale behind Clojure and provides various resources for further exploration.
Introduction to Clojure
Introduction to ClojureRenzo Borgatti This document provides an introduction to the Clojure programming language. It discusses Clojure's roots in functional programming concepts like lambda calculus. It also covers Clojure's features like being dynamically typed, Java interoperability, immutability, and support for concurrency through mechanisms like atoms, refs, agents, and vars. The document is presented by Renzo Borgatti and provides an overview of Clojure along with examples to demonstrate its capabilities.
A brief introduction to lisp language
A brief introduction to lisp languageDavid Gu This document provides a brief introduction to the Lisp programming language. It discusses Lisp's history from its origins in 1958 to modern implementations like Common Lisp and Scheme. It also covers Lisp's support for functional, imperative, and object-oriented paradigms. A key feature of Lisp is its use of s-expressions as both code and data, which enables powerful macros to transform and generate code at compile time.
INTRODUCTION TO LISP
INTRODUCTION TO LISPNilt1234 Here is a recursive function to check if a list contains an element:
(defun contains (element list)
(cond ((null list) nil)
((equal element (car list)) t)
(t (contains element (cdr list)))))
To check the guest list:
(contains 'robocop guest-list)
This function:
1. Base case: If list is empty, element is not contained - return nil
2. Check if element equals car of list - if so, return t
3. Otherwise, recursively call contains on element and cdr of list
So it will recursively traverse the list until it finds a match or reaches empty list.
Lisp
LispAniruddha Chakrabarti This document provides an overview of the Lisp programming language. It begins with some notable quotes about Lisp praising its power and importance. It then covers the basic syntax of Lisp including its use of prefix notation, basic data types like integers and booleans, and variables. It demonstrates how to print, use conditional statements like IF and COND, and describes lists as the core data structure in Lisp.
Clojure and The Robot Apocalypse
Clojure and The Robot Apocalypseelliando dias This document provides an introduction to the Clojure programming language. It discusses Clojure's four main aspects: functional programming, its basis in Lisp, running on the Java Virtual Machine, and support for concurrency. It provides examples and explanations of Clojure's functional style, homoiconic Lisp syntax, interoperability with Java, and approaches for managing concurrent state through vars, refs, atoms and agents. It also recommends tools for getting started with Clojure and links to additional learning resources.
LISP: Introduction to lisp
LISP: Introduction to lispDataminingTools Inc Lisp was invented in 1958 by John McCarthy and was one of the earliest high-level programming languages. It has a distinctive prefix notation and uses s-expressions to represent code as nested lists. Lisp features include built-in support for lists, dynamic typing, and an interactive development environment. It was closely tied to early AI research and used in systems like SHRDLU. Lisp allows programs to treat code as data through homoiconicity and features like lambdas, conses, and list processing functions make it good for symbolic and functional programming.
LISP: Introduction To Lisp
LISP: Introduction To LispLISP Content Lisp was invented in 1958 by John McCarthy and was one of the earliest high-level programming languages. It has a distinctive prefix notation and uses s-expressions to represent code as nested lists. Lisp features include built-in support for lists, dynamic typing, and an interactive development environment. It has been widely used in artificial intelligence and remains a popular language for prototyping due to its simple syntax and ability to treat code as data.
LISP: Data types in lisp
LISP: Data types in lispDataminingTools Inc Lisp has several basic data types including numbers, characters, symbols, lists, arrays, hash tables, and functions. Numbers can be integers, ratios, reals, complexes, and floats. Characters are basic text elements. Symbols are names that can have properties. Lists are sequences of conses (two-element records) linked together. Arrays store elements in a grid structure. Hash tables efficiently map keys to values. Functions represent procedures that can be invoked. Common Lisp provides various functions and constructs for manipulating these basic data types as data structures.
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- 2. var profile = { name : ‘Taiju Higashi’, twitter : ‘@taiju’, hatenaid : ‘id:jdg’, job : undefined };
- 11. “I was recruited to Netscape with the promise of "doing Scheme" in the browser. Netscape Scheme Lisp
- 12. "Whether that language should be Scheme was an open question, but Scheme was the bait I went for in joining Netscape.
- 25. "JavaScript's C-like syntax, including curly braces and the clunky for statement, makes it appear to be an ordinary procedural language. This is misleading because JavaScript has more in common with functional languages like Lisp or Scheme than with C or Java. JavaScript C
- 26. "It has arrays instead of lists and objects instead of property lists. Functions are first class. It has closures. You get lambdas without having to balance all those parens. lambda GET
- 31. "JavaScript has much in common with Scheme. It is a dynamic language. It has a flexible datatype (arrays) that can easily simulate s-expressions. And most importantly, functions are lambdas. JavaScript Scheme Lisp S function=lambda
- 32. (define foo (lambda (a b c) (body)))
- 34. (define foo (lambda (a b c) (body))) var foo = function(a, b, c) { return body; };
- 35. (foo a b c)
- 37. (foo (a b c)) foo(a, b, c)
- 38. (cond (p1 e1) (p2 e2) ... (else en))
- 40. (cond (p1 e1) (p2 e2) ... (else en)) p1 ? e1 : p2 ? e2 : en
- 41. (and p1 p2 ... pn) (or p1 p2 ... pn)
- 43. (and p1 p2 ... pn) (or p1 p2 ... pn) (p1 && p2 ... && pn) (p1 || p2 ... || pn)
- 44. (quote (a b c)) (quote (a . (b . (c . nil))))
- 46. (quote (a b c)) (quote (a . (b . (c . nil)))) [‘a’, [‘b’, [‘c’]]