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  2. Parsons problem - Wikipedia

    en.wikipedia.org/wiki/Parsons_problem

    There is great flexibility in how Parsons problems can be designed, including the types of code fragments from which to select, and how much structure of the solution is provided in the question. [3] Easier Parsons problems provide the complete block structure of the solution included in the question, and the provided lines of code simply need ...

  3. American Computer Science League - Wikipedia

    en.wikipedia.org/wiki/American_Computer_Science...

    Top students are invited to participate in the contest. Students in the Junior, Intermediate, and Senior divisions start in the morning with a 3-hour block in which to solve 2 programming problems. All divisions have a one-hour quiz (20 multiple choice questions) on topics that are covered in the written questions in the Regular Season rounds.

  4. Python (programming language) - Wikipedia

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

    Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.

  5. Millennium Prize Problems - Wikipedia

    en.wikipedia.org/wiki/Millennium_Prize_Problems

    The question is whether or not, for all problems for which an algorithm can verify a given solution quickly (that is, in polynomial time), an algorithm can also find that solution quickly. Since the former describes the class of problems termed NP, while the latter describes P, the question is equivalent to asking whether all problems in NP are ...

  6. Recursion - Wikipedia

    en.wikipedia.org/wiki/Recursion

    A contrary approach is dynamic programming. This approach serves as a bottom-up approach, where problems are solved by solving larger and larger instances, until the desired size is reached. A classic example of recursion is the definition of the factorial function, given here in Python code:

  7. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Progressive improvement algorithms, which use techniques reminiscent of linear programming. This works well for up to 200 cities. Implementations of branch-and-bound and problem-specific cut generation (branch-and-cut [27]); [28] this is the method of choice for solving large instances.

  8. Coding interview - Wikipedia

    en.wikipedia.org/wiki/Coding_interview

    Some questions involve projects that the candidate has worked on in the past. A coding interview is intended to seek out creative thinkers and those who can adapt their solutions to rapidly changing and dynamic scenarios. [citation needed] Typical questions that a candidate might be asked to answer during the second-round interview include: [7]

  9. Sudoku solving algorithms - Wikipedia

    en.wikipedia.org/wiki/Sudoku_solving_algorithms

    A Sudoku starts with some cells containing numbers (clues), and the goal is to solve the remaining cells. Proper Sudokus have one solution. [1] Players and investigators use a wide range of computer algorithms to solve Sudokus, study their properties, and make new puzzles, including Sudokus with interesting symmetries and other properties.