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  2. Duplicate code - Wikipedia

    en.wikipedia.org/wiki/Duplicate_code

    A number of different algorithms have been proposed to detect duplicate code. For example: Baker's algorithm. [7] Rabin–Karp string search algorithm. Using abstract syntax trees. [8] Visual clone detection. [9] Count matrix clone detection. [10] [11] Locality-sensitive hashing; Anti-unification [12]

  3. Don't repeat yourself - Wikipedia

    en.wikipedia.org/wiki/Don't_repeat_yourself

    Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.

  4. In-place algorithm - Wikipedia

    en.wikipedia.org/wiki/In-place_algorithm

    One seemingly simple way to do this is to create a new array of equal size, fill it with copies from a in the appropriate order and then delete a. function reverse(a[0..n - 1]) allocate b[0..n - 1] for i from 0 to n - 1 b[n − 1 − i] := a[i] return b

  5. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    An optimal number of hash functions k = (m / n) ln 2 has been assumed. Assume that a hash function selects each array position with equal probability. If m is the number of bits in the array, the probability that a certain bit is not set to 1 by a certain hash function during the insertion of an element is .

  6. Magic number (programming) - Wikipedia

    en.wikipedia.org/wiki/Magic_number_(programming)

    The use of unnamed magic numbers in code obscures the developers' intent in choosing that number, [2] increases opportunities for subtle errors (e.g. is every digit correct in 3.14159265358979323846 and can be rounded to 3.14159? [clarification needed] [3]) and makes it more difficult for the program to be adapted and extended in the future. [4]

  7. Python (programming language) - Wikipedia

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

    It's a free compiler, though it also has commercial add-ons (e.g. for hiding source code). Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165]

  8. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Array, a sequence of elements of the same type stored contiguously in memory; Record (also called a structure or struct), a collection of fields Product type (also called a tuple), a record in which the fields are not named; String, a sequence of characters representing text; Union, a datum which may be one of a set of types

  9. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    Tree patterns are used in some programming languages as a general tool to process data based on its structure, e.g. C#, [1] F#, [2] Haskell, [3] Java, [4] ML, Python, [5] Ruby, [6] Rust, [7] Scala, [8] Swift [9] and the symbolic mathematics language Mathematica have special syntax for expressing tree patterns and a language construct for ...