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HackerRank categorizes most of their programming challenges into a number of core computer science domains, [3] including database management, mathematics, and artificial intelligence. When a programmer submits a solution to a programming challenge, their submission is scored on the accuracy of their output.
HackerRank: HackerRank offers programming problems in different domains of Computer Science. It also hosts annual Codesprints which help connect the coders and Silicon Valley startups. LeetCode: LeetCode has over 2,300 questions covering many different programming concepts and offers weekly and bi-weekly contests.
While free users have access to a limited number of questions, premium users gain access to additional questions previously used in interviews at large tech companies. [1] The performance of users' solutions is evaluated based on response speed and solution efficiency, and is ranked against other submissions in the LeetCode database.
This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
Gennady Korotkevich (Belarusian: Генадзь Караткевіч, Hienadź Karatkievič, Russian: Геннадий Короткевич; born 25 September 1994) is a Belarusian competitive sport programmer who has won major international competitions since the age of 11, as well as numerous national competitions.
Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...
Meta Hacker Cup (formerly known as Facebook Hacker Cup) is an annual international programming competition hosted and administered by Meta Platforms.The competition began in 2011 as a means to identify top engineering talent for potential employment at Meta Platforms. [2]
In computer science, the clique problem is the computational problem of finding cliques (subsets of vertices, all adjacent to each other, also called complete subgraphs) in a graph. It has several different formulations depending on which cliques, and what information about the cliques, should be found.