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https://github.com/hirwa13/sorting_algorithms

Sorting algorithms
https://github.com/hirwa13/sorting_algorithms

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Sorting algorithms

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README

        

Sorting algorithms & Big O

Repository demonstrating sorting algorithms

## Resources:books:
Read or watch:
* [Big-O Algorithm Complexity Cheat](https://www.bigocheatsheet.com/)
* [Big O Notation - Ruby Reilly](https://medium.com/@rubyclaroreilly/big-o-notation-f2c0d0e60888)
* [Big O Notation: A primer for beginning devs](https://www.educative.io/blog/a-big-o-primer-for-beginning-devs?aid=5082902844932096&utm_source=google&utm_medium=cpc&utm_campaign=blog-dynamic&gclid=EAIaIQobChMIlb2ol-H36QIVTwiICR38HQ-LEAAYASAAEgJjGPD_BwE%3E)
* [Complete Beginner's Guide to Big O Notation](https://www.youtube.com/watch?v=kS_gr2_-ws8)
* [Data Structures - Asymptotic Analysis](https://www.tutorialspoint.com/data_structures_algorithms/asymptotic_analysis.htm)
* [RANDOM.ORG - Integer Set Generator](https://www.random.org/integer-sets/)
* [Sorting algorithm](https://en.wikipedia.org/wiki/Sorting_algorithm#Classification)
* [algorithm - What is a plain English explanation of "Big O" notation?](https://stackoverflow.com/questions/487258/what-is-a-plain-english-explanation-of-big-o-notation)
* [What is the time complexity of indexing, inserting and removing from common data structures?](https://stackoverflow.com/questions/122799/what-is-the-time-complexity-of-indexing-inserting-and-removing-from-common-data)
* [Sorting Algorithms Animations](https://www.toptal.com/developers/sorting-algorithms)
* [Sorting Algorithms BigPicture](https://www.youtube.com/watch?v=RLuBLU_NgaA)
* [algoritmos de ordenamiento](https://www.youtube.com/results?search_query=algoritmos+de+ordenamiento)
* [ALGORITMOS - METODOS DE ORDENAMIENTO](https://www.youtube.com/watch?v=VJ_EUuURRg4)
* [¿Qué es la complejidad algorítmica y con qué se come?](https://medium.com/@joseguillermo_/qu%C3%A9-es-la-complejidad-algor%C3%ADtmica-y-con-qu%C3%A9-se-come-2638e7fd9e8c)
* [Big O notation](https://en.wikipedia.org/wiki/Big_O_notation)
* [Análisis de la complejidad de los algoritmos](https://www.cs.us.es/~jalonso/cursos/i1m/temas/tema-28.html)
* [Rendimiento de algoritmos y notación Big-O](https://www.campusmvp.es/recursos/post/Rendimiento-de-algoritmos-y-notacion-Big-O.aspx)
* [Big-O is easy to calculate, if you know how](https://justin.abrah.ms/computer-science/how-to-calculate-big-o.html)
* [8 time complexities that every programmer should know](https://adrianmejia.com/most-popular-algorithms-time-complexity-every-programmer-should-know-free-online-tutorial-course/#Binary-search)