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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 ...
First self-published in 2008, her book Cracking the Coding Interview provides guidance on technical job interviews, and includes solutions to example coding interview questions. [5] A followup was published in 2025 covering issues in recruitment, job hunting and behavioral interviews alongside material on big O notation , leetcode , algorithms ...
Users of Stack Overflow can earn reputation points and "badges"; for example, a person is awarded 10 reputation points for receiving an "up" vote on a question or an answer to a question, [12] and can receive badges for their valued contributions, [13] which represents a gamification of the traditional Q&A website. Users unlock new privileges ...
In the postscript the author says: "To think that at the worst crucial moment one can escape from the pain by committing suicide, one can live for the moment easier. So by distributing this book, I want to make this stifling society an easier place to live. That is the goal of this book. And I never intend to encourage readers to commit suicide."
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.In many settings the term refers to integer linear programming (ILP), in which the objective function and the constraints (other than the integer constraints) are linear.
For an arbitrary number of input sequences, the dynamic programming approach gives a solution in O ( N ∏ i = 1 N n i ) . {\displaystyle O\left(N\prod _{i=1}^{N}n_{i}\right).} There exist methods with lower complexity, [ 3 ] which often depend on the length of the LCS, the size of the alphabet, or both.
Thinking in Java (ISBN 978-0131872486) is a book about the Java programming language, written by Bruce Eckel and first published in 1998. Prentice Hall published the 4th edition of the work in 2006. The book represents a print version of Eckel’s “Hands-on Java” seminar.
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.
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