When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.

  3. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    for every operation, there is an inverse operation with equal cost. With these properties, the metric axioms are satisfied as follows: d (a, b) = 0 if and only if a=b, since each string can be trivially transformed to itself using exactly zero operations. d (a, b) > 0 when a ≠ b, since this would require at least one operation at non-zero cost.

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    After the model is trained, the learned word embeddings are positioned in the vector space such that words that share common contexts in the corpus — that is, words that are semantically and syntactically similar — are located close to one another in the space. [1] More dissimilar words are located farther from one another in the space. [1]

  5. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  6. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  7. Frontend and backend - Wikipedia

    en.wikipedia.org/wiki/Frontend_and_Backend

    In software development, frontend refers to the presentation layer that users interact with, while backend involves the data management and processing behind the scenes. In the client–server model, the client is usually considered the frontend, handling user-facing tasks, and the server is the backend, managing data and logic.

  8. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    The editor Vim further distinguishes word and word-head classes (using the notation \ w and \ h) since in many programming languages the characters that can begin an identifier are not the same as those that can occur in other positions: numbers are generally excluded, so an identifier would look like \ h \ w * or [[:alpha:] _] [[:alnum ...

  9. Lazy evaluation - Wikipedia

    en.wikipedia.org/wiki/Lazy_evaluation

    The actual values are only computed when needed. For example, one could create a function that creates an infinite list (often called a stream) of Fibonacci numbers. The calculation of the n-th Fibonacci number would be merely the extraction of that element from the infinite list, forcing the evaluation of only the first n members of the list.