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  2. Syntactic sugar - Wikipedia

    en.wikipedia.org/wiki/Syntactic_sugar

    In computer science, syntactic sugar is syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use: things can be expressed more clearly, more concisely, or in an alternative style that some may prefer.

  3. Declarative programming - Wikipedia

    en.wikipedia.org/wiki/Declarative_programming

    [1] Many languages that apply this style attempt to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describing how to accomplish it as a sequence of the programming language primitives [2] (the how being left up to the language's implementation).

  4. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    Figure 1. Finding the shortest path in a graph using optimal substructure; a straight line indicates a single edge; a wavy line indicates a shortest path between the two vertices it connects (among other paths, not shown, sharing the same two vertices); the bold line is the overall shortest path from start to goal.

  5. Extended Backus–Naur form - Wikipedia

    en.wikipedia.org/wiki/Extended_Backus–Naur_form

    The vertical bar represents an alternative and the terminal symbols are enclosed with quotation marks followed by a semicolon as terminating character. Hence a digit is a 0 or a digit excluding zero that can be 1 or 2 or 3 and so forth until 9. A production rule can also include a sequence of terminals or nonterminals, each separated by a comma:

  6. Abstraction (computer science) - Wikipedia

    en.wikipedia.org/wiki/Abstraction_(computer_science)

    Abstraction is a fundamental concept in computer science and software engineering, especially within the object-oriented programming paradigm. [3] Examples of this include: the usage of abstract data types to separate usage from working representations of data within programs; [4]

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:

  8. Skeleton (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Skeleton_(computer...

    Python has a similar approach to document its in-built methods, however mimics the language's lack of fixation on scope and data types. [5] This documentation has the syntax of each method, along with a short description and an example of the typical use of the method or function.

  9. Simplex algorithm - Wikipedia

    en.wikipedia.org/wiki/Simplex_algorithm

    Columns 2, 3, and 4 can be selected as pivot columns, for this example column 4 is selected. The values of z resulting from the choice of rows 2 and 3 as pivot rows are 10/1 = 10 and 15/3 = 5 respectively. Of these the minimum is 5, so row 3 must be the pivot row. Performing the pivot produces