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  2. Zipping (computer science) - Wikipedia

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

    Haskell has a method of zipping sequences but requires a specific function for each arity (zip for two sequences, zip3 for three etc.), [3] similarly the functions unzip and unzip3 are available for unzipping:

  3. Zipper (data structure) - Wikipedia

    en.wikipedia.org/wiki/Zipper_(data_structure)

    More formally, a location in the list is the number of Cons operations required to reconstruct the whole list from that particular location. For example, in Cons(1, Cons(2, Cons( X, Cons(4, Empty)))) a Cons(2, L) and a Cons(1, L) operation would be required to reconstruct the list relative to position X otherwise known as Cons( X, Cons(4, Empty ...

  4. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.

  5. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    As an example consider the sequence of tokens AABBA which would assemble the dictionary; 0 {0,_} 1 {0,A} 2 {1,B} 3 {0,B} and the output sequence of the compressed data would be 0A1B0B. Note that the last A is not represented yet as the algorithm cannot know what comes next. In practice an EOF marker is added to the input – AABBA$ for

  6. List of file signatures - Wikipedia

    en.wikipedia.org/wiki/List_of_file_signatures

    compressed file (often tar zip) using Lempel-Ziv-Welch algorithm 1F A0 ␟⍽ 0 z tar.z Compressed file (often tar zip) using LZH algorithm 2D 6C 68 30 2D-lh0-2 lzh Lempel Ziv Huffman archive file Method 0 (No compression) 2D 6C 68 35 2D-lh5-2 lzh Lempel Ziv Huffman archive file Method 5 (8 KiB sliding window) 42 41 43 4B 4D 49 4B 45 44 49 53 ...

  7. List of terms relating to algorithms and data structures

    en.wikipedia.org/wiki/List_of_terms_relating_to...

    For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures. This list of terms was originally derived from the index of that document, and is in the public domain, as it was compiled by a Federal Government employee as part of a Federal Government work. Some of the terms defined are:

  8. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:

  9. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.