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  2. Association list - Wikipedia

    en.wikipedia.org/wiki/Association_list

    Additionally, unless the list is regularly pruned to remove elements with duplicate keys, multiple values associated with the same key will increase the size of the list, and thus the time to search, without providing any compensatory advantage. One advantage of association lists is that a new element can be added in constant time.

  3. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The basic idea behind a hash table is that accessing an element of an array via its index is a simple, constant-time operation. Therefore, the average overhead of an operation for a hash table is only the computation of the key's hash, combined with accessing the corresponding bucket within the array.

  4. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    Chained-Hash-Insert(T, k) insert x at the head of linked list T[h(k)] Chained-Hash-Search(T, k) search for an element with key k in linked list T[h(k)] Chained-Hash-Delete(T, k) delete x from the linked list T[h(k)] If the element is comparable either numerically or lexically, and inserted into the list by maintaining the total order, it ...

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.

  6. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    Inserting elements into a skip list. The elements used for a skip list can contain more than one pointer since they can participate in more than one list. Insertions and deletions are implemented much like the corresponding linked-list operations, except that "tall" elements must be inserted into or deleted from more than one linked list.

  7. Schwartzian transform - Wikipedia

    en.wikipedia.org/wiki/Schwartzian_transform

    In computer programming, the Schwartzian transform is a technique used to improve the efficiency of sorting a list of items. This idiom [1] is appropriate for comparison-based sorting when the ordering is actually based on the ordering of a certain property (the key) of the elements, where computing that property is an intensive operation that should be performed a minimal number of times.

  8. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    "Ordered" means that the elements of the data type have some kind of explicit order to them, where an element can be considered "before" or "after" another element. This order is usually determined by the order in which the elements are added to the structure, but the elements can be rearranged in some contexts, such as sorting a list. For a ...

  9. Timsort - Wikipedia

    en.wikipedia.org/wiki/Timsort

    Timsort is a stable sorting algorithm (order of elements with same key is kept) and strives to perform balanced merges (a merge thus merges runs of similar sizes). In order to achieve sorting stability, only consecutive runs are merged. Between two non-consecutive runs, there can be an element with the same key inside the runs.