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  2. LeetCode - Wikipedia

    en.wikipedia.org/wiki/LeetCode

    LeetCode LLC, doing business as LeetCode, is an online platform for coding interview preparation. The platform provides coding and algorithmic problems intended for users to practice coding . [ 1 ] LeetCode has gained popularity among job seekers in the software industry and coding enthusiasts as a resource for technical interviews and coding ...

  3. Coding interview - Wikipedia

    en.wikipedia.org/wiki/Coding_interview

    [2] [3] Coding interviews test candidates' technical knowledge, coding ability, problem solving skills, and creativity, typically on a whiteboard. Candidates usually have a degree in computer science, information science, computer engineering or electrical engineering, and are asked to solve programming problems, algorithms, or puzzles.

  4. Competitive programming - Wikipedia

    en.wikipedia.org/wiki/Competitive_programming

    Competitive programming or sport programming is a mind sport involving participants trying to program according to provided specifications. The contests are usually held over the Internet or a local network. Competitive programming is recognized and supported by several multinational software and Internet companies, such as Google, [1] [2] and ...

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    IronPython allows running Python 2.7 programs (and an alpha, released in 2021, is also available for "Python 3.4, although features and behaviors from later versions may be included" [170]) on the .NET Common Language Runtime. [171] Jython compiles Python 2.7 to Java bytecode, allowing the use of the Java libraries from a Python program. [172]

  6. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...

  7. Conic optimization - Wikipedia

    en.wikipedia.org/wiki/Conic_optimization

    Conic optimization is a subfield of convex optimization that studies problems consisting of minimizing a convex function over the intersection of an affine subspace and a convex cone. The class of conic optimization problems includes some of the most well known classes of convex optimization problems, namely linear and semidefinite programming.

  8. Job interview - Wikipedia

    en.wikipedia.org/wiki/Job_interview

    When an interview is standardized, it increases the likelihood that an interviewee's ratings are due to the quality of his/her responses instead of non-job-related and often distracting factors, such as appearance. Interview structure is more appropriately thought to be on a continuum, ranging from completely unstructured to fully structured. [44]

  9. Bridge and torch problem - Wikipedia

    en.wikipedia.org/wiki/Bridge_and_torch_problem

    This is done by taking persons A, C, & D: C+A+D+A = 5+1+8+1=15. (Here we use A because we know that using A to cross both C and D separately is the most efficient.) But, the time has elapsed and person A and B are still on the starting side of the bridge and must cross. So it is not possible for the two slowest (C & D) to cross separately.