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  2. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    Else, recursively merge the first ⌊k/2lists and the final ⌈k/2lists, then binary merge these. When the input lists to this algorithm are ordered by length, shortest first, it requires fewer than n ⌈log k ⌉ comparisons, i.e., less than half the number used by the heap-based algorithm; in practice, it may be about as fast or slow ...

  3. 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.

  4. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    List of applications and frameworks that use skip lists: Apache Portable Runtime implements skip lists. [9] MemSQL uses lock-free skip lists as its prime indexing structure for its database technology. MuQSS, for the Linux kernel, is a CPU scheduler built on skip lists. [10] [11] Cyrus IMAP server offers a "skiplist" backend DB implementation [12]

  5. Python (programming language) - Wikipedia

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

    Python has array index and array slicing expressions in lists, denoted as a[key], a [start: stop] or a [start: stop: step]. Indexes are zero-based , and negative indexes are relative to the end. Slices take elements from the start index up to, but not including, the stop index.

  6. Pythons 2 - Wikipedia

    en.wikipedia.org/wiki/Pythons_2

    Pythons 2 (also known as Pythons, released on home media as Python II or Pythons II and sometimes listed in references as Python 2 [2]), is a science-fiction horror film released as a Sci Fi Pictures television film on Syfy.

  7. Item-total correlation - Wikipedia

    en.wikipedia.org/wiki/Item-total_correlation

    An important goal of item analysis is to identify and remove or revise items that are not good indicators of the underlying trait. [2] A small or negative item-correlation provides empirical evidence that the item is not measuring the same construct measured by the assessment. Exact values depend on the type of measure, but as a heuristic, a ...