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  2. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees .

  3. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    Each terminal node is associated with a list of URLs—called occurrence list—to pages that match the keyword. The trie is stored in the main memory, whereas the occurrence is kept in an external storage, frequently in large clusters , or the in-memory index points to documents stored in an external location.

  4. Python (programming language) - Wikipedia

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

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  5. Argument Clinic - Wikipedia

    en.wikipedia.org/wiki/Argument_Clinic

    Argument Clinic" is a sketch from Monty Python's Flying Circus, written by John Cleese and Graham Chapman. The sketch was originally broadcast as part of the television series and has subsequently been performed live by the group. It relies heavily on wordplay and dialogue, and has been used as an example of how language works.

  6. Aho–Corasick algorithm - Wikipedia

    en.wikipedia.org/wiki/Aho–Corasick_algorithm

    In this example, we will consider a dictionary consisting of the following words: {a, ab, bab, bc, bca, c, caa}. The graph below is the Aho–Corasick data structure constructed from the specified dictionary, with each row in the table representing a node in the trie, with the column path indicating the (unique) sequence of characters from the root to the node.

  7. Sparse dictionary learning - Wikipedia

    en.wikipedia.org/wiki/Sparse_dictionary_learning

    Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms, and they compose a dictionary.

  8. Fictionary - Wikipedia

    en.wikipedia.org/wiki/Fictionary

    Fictionary, also known as the Dictionary Game [1] or simply Dictionary, [2] is a word game in which players guess the definition of an obscure word. Each round consists of one player selecting and announcing a word from the dictionary , and other players composing a fake definition for it.

  9. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    The Free Software Foundation argued that the choice-of-law clause was incompatible with the GNU General Public License. BeOpen, CNRI and the FSF negotiated a change to Python's free-software license that would make it GPL-compatible. Python 1.6.1 is essentially the same as Python 1.6, with a few minor bug fixes, and with the new GPL-compatible ...

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