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  2. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    numpy .org. NumPy (pronounced / ˈnʌmpaɪ / 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] The predecessor of NumPy, Numeric, was originally created by Jim Hugunin with ...

  3. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    Support for multi-dimensional arrays may also be provided by external libraries, which may even support arbitrary orderings, where each dimension has a stride value, and row-major or column-major are just two possible resulting interpretations. Row-major order is the default in NumPy (for Python).

  4. Array (data structure) - Wikipedia

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

    Array (data structure) In computer science, an array is a data structure consisting of a collection of elements ( values or variables ), of same memory size, each identified by at least one array index or key. An array is stored such that the position of each element can be computed from its index tuple by a mathematical formula.

  5. Jagged array - Wikipedia

    en.wikipedia.org/wiki/Jagged_array

    Jagged array. Memory layout of a jagged array. In computer science, a jagged array, also known as a ragged array [1] or irregular array [2] is an array of arrays of which the member arrays can be of different lengths, [3] producing rows of jagged edges when visualized as output. In contrast, two-dimensional arrays are always rectangular [4] so ...

  6. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  7. Array programming - Wikipedia

    en.wikipedia.org/wiki/Array_programming

    Array programming. In computer science, array programming refers to solutions that allow the application of operations to an entire set of values at once. Such solutions are commonly used in scientific and engineering settings. Modern programming languages that support array programming (also known as vector or multidimensional languages) have ...

  8. Array slicing - Wikipedia

    en.wikipedia.org/wiki/Array_slicing

    Array slicing. In computer programming, array slicing is an operation that extracts a subset of elements from an array and packages them as another array, possibly in a different dimension from the original. Common examples of array slicing are extracting a substring from a string of characters, the " ell " in "h ell o", extracting a row or ...

  9. SciPy - Wikipedia

    en.wikipedia.org/wiki/ScientificPython

    SciPy. SciPy (pronounced / ˈsaɪpaɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3] SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and ...