Algorithms Page
Algorithms
Return to Computer Algorithms Bibliography, Big O Notation, Data Structures, Major Programming Topics, Programming Topics, Programming Languages, Software Engineering Topics, Software Architecture, Software Architecture Topics, Awesome Algorithms
An algorithm is a step-by-step procedure or formula for solving a problem or completing a task. In computer science, algorithms are used to manipulate data, perform calculations, and automate reasoning processes. They serve as the foundation for all computer programs, enabling software to execute tasks efficiently and effectively. Algorithms can vary in complexity from simple instructions, like sorting a list of numbers, to complex operations, such as compressing data or finding routes in a network. The performance of an algorithm is typically evaluated based on its efficiency and speed, measured in terms of the time and resources it requires to produce an output. Well-designed algorithms improve computational processes, enhancing the functionality of computer systems and applications across various fields, from search engines and data analysis to artificial intelligence and beyond.
See: https://learning.oreilly.com/topics/algorithms
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* Golang, Go, Go programming language - Golang Algorithms
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* Microsoft Windows Server - Microsoft Windows Server Algorithms
* Kotlin - Kotlin Algorithms
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* Perl - Perl Algorithms
* PHP - PHP Algorithms
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* Python - Python Algorithms
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* RHEL - RHEL Algorithms
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* Scala - Scala Algorithms
* Spring - Spring Algorithms
* SQL - SQL Algorithms
* Swift - Swift Algorithms
* TypeScript - TypeScript Algorithms
* Ubuntu - Ubuntu Algorithms
* Vue.js - Vue.js Algorithms
Research More
Algorithms Research:
* github>Algorithms on Github
* oreilly>Algorithms on O'Reilly
* amz>Algorithms on Amazon.com
* ddg>Algorithms on DuckDuckGo
* amz>Python for Data Analysis, 3rd Edition by Wes McKinney on Amazon.com
* python>Python for Data Analysis, 3rd Edition by Wes McKinney on Python.org
* pypi>Algorithms on pypi.org
* PyMOTW>Algorithms on PyMOTW.com
* java>Algorithms on docs.oracle.com
* heinz>Algorithms on JavaSpecialists.eu
* baeldung>Algorithms on baeldung.com
* javatpoint>Algorithms on javatpoint.com
* w3schools>Algorithms on w3schools.com
* tutorialspoint>Algorithms on tutorialspoint.com
* freecode>Algorithms on FreeCodeCamp.org
* kotlin>Algorithms on KotlinLang.org
* android>Algorithms on developer.android.com
* xda>Algorithms on xda-developers.com
* scala>Algorithms on Scala-Lang.org
* spring>Algorithms on spring.io
* maven>Algorithms on search.maven.org
* mavenrepo>Algorithms on MvnRepository.com
* gradle>Algorithms on plugins.gradle.org
* redhat>Algorithms on developers.redhat.com
* ibm>Algorithms on IBM.com
* ms>Algorithms on docs.microsoft.com
* react>Algorithms on reactjs.org
* jamstack>Algorithms on jamstack.org
* angular>Algorithms on angular.io
* mdn>Algorithms on developer.mozilla.org
* ts>Algorithms on TypescriptLang.org
* node.js>Algorithms on nodejs.org
* youtube>Algorithms on YouTube
* reddit>Algorithms on Reddit
* scholar>Algorithms on scholar.google.com
* stackoverflow>Algorithms on Stackoverflow
* quora>Algorithms on Quora
* dzone>Algorithms on Dzone
* hackernoon>Algorithms on Hacker Noon
Fair Use Sources
Fair Use Sources:
* ddg>Algorithms on DuckDuckGo
* B09781V6F7 (GrokAlg 2022)
* https://learning.oreilly.com/topics/algorithms
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