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2. Rubber duck debugging - Wikipedia

   en.wikipedia.org/wiki/Rubber_duck_debugging

   In software engineering, rubber duck debugging (or rubberducking) is a method of debugging code by articulating a problem in spoken or written natural language. The name is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it ...

3. Parsons problem - Wikipedia

   en.wikipedia.org/wiki/Parsons_problem

   The Parsons problem format is used in the learning and teaching of computer programming. Dale Parsons and Patricia Haden of Otago Polytechnic developed Parsons's Programming Puzzles to aid the mastery of basic syntactic and logical constructs of computer programming languages, in particular Turbo Pascal, [1] although any programming language ...

4. Codeforces - Wikipedia

   en.wikipedia.org/wiki/Codeforces

   He has used Codeforces problems in his class, 15-295: Competition Programming and Problem Solving. [20] At the National University of Singapore , Codeforces rating is also used as an entrance qualifying criterion for registering for a 4-unit course, CS3233 Competitive Programming, as students have to achieve a rating of at least 1559 to be able ...

5. Competitive programming - Wikipedia

   en.wikipedia.org/wiki/Competitive_programming

   Irrespective of the problem category, the process of solving a problem can be divided into two broad steps: constructing an efficient algorithm, and implementing the algorithm in a suitable programming language (the set of programming languages allowed varies from contest to contest). These are the two most commonly tested skills in programming ...

6. Computer program - Wikipedia

   en.wikipedia.org/wiki/Computer_program

   Programming languages get their basis from formal languages. [42] The purpose of defining a solution in terms of its formal language is to generate an algorithm to solve the underlining problem. [42] An algorithm is a sequence of simple instructions that solve a problem. [43]

7. Greedy algorithm - Wikipedia

   en.wikipedia.org/wiki/Greedy_algorithm

   A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. [1] In many problems, a greedy strategy does not produce an optimal solution, but a greedy heuristic can yield locally optimal solutions that approximate a globally optimal solution in a reasonable amount of time.