Functional Programming for the Rest of Us in Javascript

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The document discusses functional programming concepts in JavaScript, including higher order functions, closures, currying, and lazy evaluation. It explains that functions are first-class objects capable of taking and returning other functions, with examples illustrating partial application. The importance of lazy evaluation for handling infinite data structures is also highlighted.

Functional Programming for the Rest of Us in Javascript

Higher Order Functions Functions are First class objects

LISP is a programming language invented in 1958 that uses two simple data structures - atoms and lists. It heavily relies on recursion and functional programming. LISP defines all data as lists and represents programs as nested function calls, allowing for dynamic typing and easy abstraction. It introduced many concepts still used in modern languages, including conditionals, recursion, dynamic typing, garbage collection, and representing programs as mathematical expressions.

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.

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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.

Reactive cocoagillygize

Advance LISP (Artificial Intelligence) wahab khan

The document provides an overview of Lisp, an AI programming language invented by John McCarthy in 1958, detailing its data structures (atoms and lists), recursion, and functional programming paradigm. It covers function calls, special forms, predicates, list operations, and how to define functions in Lisp, emphasizing its unique features such as dynamic typing, garbage collection, and the use of symbols. The summary highlights the essential syntax and operations in Lisp, making it a fundamental tool in artificial intelligence programming.

Prolog & lispIsmail El Gayar

LISP and PROLOG are early AI programming languages. LISP, created in 1958, uses lists and is functional while PROLOG, created in the 1970s, is logic-based and declarative. Both use recursion and allow programming with lists. They are commonly used for symbolic reasoning, knowledge representation and natural language processing. While different in approach, they both allow developing AI systems through a non-procedural programming style.

How to use Map() Filter() and Reduce() functions in Python | EdurekaEdureka!

The document provides an introduction to three essential functions in Python: map(), filter(), and reduce(). The map() function applies a specified function to all elements in an iterable and returns a new list, filter() filters elements based on a condition, and reduce() accumulates values from an iterable into a single result. It also discusses how these functions can be combined to process data efficiently.

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.

Introduction to Programming in LISPKnoldus Inc.

The document introduces programming in Lisp, detailing its significance and fundamentals such as expression evaluation, variable definitions, and procedure definitions. It highlights why learning Lisp is beneficial for understanding functional programming languages and provides insight into concepts like recursion and iteration. The content emphasizes key features of Lisp, including its history, syntax, and practical applications, particularly in artificial intelligence.

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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.

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The document provides an introduction to the Lisp programming language. It begins with an overview of Lisp and discusses its key features: it is a list processing language where lists are the basic data structure; it is functional in nature; and it uses interpretation rather than compilation. The document then covers Lisp basics like data types, evaluation rules, defining functions, conditional statements, loops, and input/output operations. It also introduces some common Lisp functions and techniques like car, cdr, cons, append, cond, do, dotimes, and dolist.

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This document provides a comprehensive introduction to programming algorithms in Java, focusing on linked lists and memory management. It covers concepts such as dynamic insertion and deletion in linked lists, memory allocation via garbage collection, and basic search algorithms including linear and binary search. Additionally, hashing functions and techniques for minimizing collisions are discussed.

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The document highlights the author's background as a software engineering educator at the Universiteit van Amsterdam and discusses their interests in domain-specific languages and metaprogramming. It provides an overview of Lisp, its historical context, and references key figures and contributions related to the language. Additionally, it details programming paradigms, syntax, and features specific to Lisp and its dialects, along with external resources for further exploration.

Lisphuzaifa ramzan

This document provides an overview of the Lisp programming language. It discusses key features of Lisp including its invention in 1958, machine independence, dynamic updating, and wide data types. The document also covers Lisp syntax, data types, variables, constants, operators, decision making, arrays, loops, text editors, and common uses of Lisp like Emacs. Overall, the document serves as a high-level introduction to the concepts and capabilities of the Lisp programming language.

Why fpАнтон Плешивцев

Functional programming languages have several advantages over imperative languages like C/C++. They support type inference for improved simplicity and readability. Code is more concise due to features like higher-order functions, closures, and partial application. Immutable data structures also improve code quality. Abstract data types (ADTs) allow defining types like shapes that can be pattern matched, similar to object-oriented polymorphism but with advantages like algebraic properties. Functional patterns like chain of responsibility improve modularity.

Quick Select (Decrease and Conquer) Gem WeBlog

Quick Select is a selection algorithm that uses a partitioning strategy similar to quicksort to find the k-th smallest element in an unsorted list. It works by selecting a pivot element and partitioning the list around it, such that all elements smaller than the pivot come before all elements larger than the pivot. It then recursively applies this process to the appropriate subset until the k-th element is identified. For example, to find the median of a list of nine numbers, Quick Select would recursively partition the list until isolating the 5th smallest element.

LispFraboni Ec

The document discusses the Lisp programming language. It notes that Allegro Common Lisp will be used and lists textbooks for learning Lisp. It provides 10 points on Lisp, including that it is interactive, dynamic, uses symbols and lists as basic data types, prefix notation for operators, and classifies different data types. Evaluation follows simple rules and programs can be treated as both instructions and data.

Lisp Programming LangugeYaser Jaradeh

Lisp is a functional programming language where the basic data structure is linked lists and atoms. It was one of the earliest programming languages developed in 1958. Lisp programs are run by interacting with an interpreter like Clisp. Key aspects of Lisp include its use of prefix notation, treating all code as nested lists, defining functions using defun, and its emphasis on recursion and higher-order functions. Common control structures include cond for conditional evaluation and looping constructs like loop. Lisp fell out of widespread use due to performance issues with interpretation and low interoperability with other languages.

Data structure and algorithm All in Onejehan1987

The document provides information about data structures and algorithms. It defines key terms like data, information, data structure, algorithm and different types of algorithms. It discusses linear data structures like arrays, operations on arrays like traversing, searching, inserting and deleting elements. It also covers recursive functions, recursion concept, searching algorithms like sequential search and binary search along with their algorithms and examples.

stack & queuemanju rani

This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.

Scheme Programming LanguageReham AlBlehid

This document provides an overview of the Scheme programming language. It describes Scheme as a functional programming language that is a member of the Lisp family. It provides examples of simple Scheme programs and outlines key Scheme concepts like primitive numeric functions, predicates, and general examples using special forms like cond and recursion to implement functions such as power, finding the maximum of three numbers, categorizing numbers, summing a list, calculating length, and filtering lists.

Chapter 6 dsHanif Durad

This document discusses stacks and their applications. It begins with an introduction to stacks, describing them as data structures that follow the last-in, first-out (LIFO) principle. It then outlines stack operations like push, pop, top, and describes how stacks can be implemented using arrays or linked lists. Several applications of stacks are mentioned, including parenthesis matching, expression evaluation in postfix notation, handling function calls and returns, and undo sequences. Examples are provided to illustrate postfix notation, converting infix to postfix expressions, and evaluating postfix expressions using a stack.

Gentle Introduction To LispDamien Garaud

This document provides an introduction to the Lisp programming language. It discusses the history of Lisp, which was created in 1958. It also covers key Lisp concepts like S-expressions, atoms, function definition, evaluation, and macros. Macros allow programmers to generate Lisp code from Lisp code, extending the language. The document uses examples to demonstrate Lisp evaluation and features like conditional evaluation, higher-order functions, and special forms like 'quote and 'if.

The Scheme Language -- Using it on the iPhoneJames Long

The document discusses writing iPhone apps using Scheme, a minimalist dialect of Lisp known for its functional programming capabilities. It highlights the language's syntax, functions, identifiers, lists, and macros, as well as the practical implementation of Scheme in app development with Gambit-C for enhanced performance and easier debugging. Additionally, it covers the benefits of Scheme for real-time development, runtime loading of code, and advanced debugging techniques.

Best,worst,average case .17581556 045university of Gujrat, pakistan

1. Several sorting algorithms are compared including quicksort, heapsort, mergesort, insertion sort, selection sort, and bubble sort. 2. For most algorithms, the best, average, and worst case time complexities are listed as O(n log(n)), O(n log(n)), and O(n^2) respectively except for some cases like selection sort and bubble sort that have average and worst case complexities of O(n^2). 3. For space complexity, many algorithms have worst case complexities of O(n) except for mergesort which uses additional space and has a worst case complexity of O(n).

Unit II - LINEAR DATA STRUCTURESUsha Mahalingam

This document discusses linear data structures, specifically stacks and queues. It defines a stack as a linear data structure that follows the LIFO principle and can be implemented using arrays or linked lists. Queue is defined as another linear data structure that follows the FIFO principle and supports enqueue and dequeue operations. Various queue implementations like array-based queues, linked list queues, circular queues, and priority queues are described along with their operations. Common applications of stacks and queues in areas like function calls, CPU scheduling, and page replacement algorithms are also mentioned.

Scheme languageJITENDRA LENKA

Scheme is a functional programming language developed in the 1970s at MIT. It is influenced by Lisp and has influenced languages like JavaScript, Ruby, and Clojure. Scheme uses s-expressions and supports both Windows and Linux. It is commonly used for embedded systems, compiler design, scripting, and teaching at many universities. The language has variants like Chez Scheme and Chicken Scheme. Core elements of Scheme include procedures, recursion, lambda expressions, conditionals, boolean logic, pairs, lists, vectors, and arithmetic operations.

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From Shit To Fit!Tomas Bay

Fred the Frog wants to lose weight and get fit so he can become a skateboarder. He realizes he needs to change his environment to support his goals. The document recommends using the "Triple D" approach: Design your environment through small adjustments; measure and track your progress with data; and reward yourself regularly to stay motivated. With the right environment, diet, exercise and positive mindset, Fred believes he can transform "from shit to fit!"

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