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HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...
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 ]
A hackathon (also known as a hack day, hackfest, datathon or codefest; a portmanteau of hacking and marathon) is an event where people engage in rapid and collaborative engineering over a relatively short period of time such as 24 or 48 hours.
Hack (computer science), an inelegant but effective solution to a computing problem; Hack (computer security), to gain unauthorized access to computers and computer networks; Hack (programming language), a programming language developed by Meta; HACK (tag), a tag in a programming language comment warning about a workaround
Hacker's Delight is a software algorithm book by Henry S. Warren, Jr. first published in 2002. It presents fast bit-level and low-level arithmetic algorithms for common tasks such as counting bits or improving speed of division by using multiplication.
HackerEarth is a software company headquartered in San Francisco that provides enterprise software that assists organizations with technical hiring. [1] HackerEarth is used by organizations for technical skill assessments and remote video interviewing.
Range minimum query reduced to the lowest common ancestor problem.. Given an array A[1 … n] of n objects taken from a totally ordered set, such as integers, the range minimum query RMQ A (l,r) =arg min A[k] (with 1 ≤ l ≤ k ≤ r ≤ n) returns the position of the minimal element in the specified sub-array A[l …
The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems. Transcription of spoken dialogs with labelling DSTC2 contains ~3.2k calls – DSTC3 contains ~2.3k calls Json Dialogue state tracking 2014 [74]