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  2. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]

  3. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Desktop publishing (DTP) application allows opening and editing of PDF documents; Allows compatible saving as PDF 1.3, 1.4, 1.5 and 1.7 and supports also PDF/X1, PDF/X1a and PDF/X-3. pdf-parser: Public Domain Python script Yes Extraction and analysis tool, handles corrupt and malicious PDF documents. PDFedit: GNU GPL: Yes Yes BSD Yes

  4. PDF Split and Merge - Wikipedia

    en.wikipedia.org/wiki/PDF_Split_and_Merge

    Merge PDF files selecting entire documents or subsections of them. It provides a number of settings to let the user decide what to do in case the original PDF files contain Acro Forms (Acrobat forms) or an outline ( bookmarks ) and it can generate a table of contents , normalize pages size and page margins and add blank pages.

  5. Merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Merge_algorithm

    In the merge sort algorithm, this subroutine is typically used to merge two sub-arrays A[lo..mid], A[mid+1..hi] of a single array A. This can be done by copying the sub-arrays into a temporary array, then applying the merge algorithm above. [1] The allocation of a temporary array can be avoided, but at the expense of speed and programming ease.

  6. Array programming - Wikipedia

    en.wikipedia.org/wiki/Array_programming

    Array programming is very well suited to implicit parallelization; a topic of much research nowadays.Further, Intel and compatible CPUs developed and produced after 1997 contained various instruction set extensions, starting from MMX and continuing through SSSE3 and 3DNow!, which include rudimentary SIMD array capabilities.

  7. Merge (version control) - Wikipedia

    en.wikipedia.org/wiki/Merge_(version_control)

    [2] The three-way merge looks for sections which are the same in only two of the three files. In this case, there are two versions of the section, and the version which is in the common ancestor "C" is discarded, while the version that differs is preserved in the output. If "A" and "B" agree, that is what appears in the output.

  8. k-way merge algorithm - Wikipedia

    en.wikipedia.org/wiki/K-way_merge_algorithm

    Suppose that such an algorithm existed, then we could construct a comparison-based sorting algorithm with running time O(n f(n)) as follows: Chop the input array into n arrays of size 1. Merge these n arrays with the k-way merge algorithm. The resulting array is sorted and the algorithm has a running time in O(n f(n)).

  9. Timsort - Wikipedia

    en.wikipedia.org/wiki/Timsort

    Timsort has been Python's standard sorting algorithm since version 2.3 (since version 3.11 using the Powersort merge policy [5]), and is used to sort arrays of non-primitive type in Java SE 7, [6] on the Android platform, [7] in GNU Octave, [8] on V8, [9] Swift, [10] and inspired the sorting algorithm used in Rust.