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  2. Comparison of programming languages (string functions)

    en.wikipedia.org/wiki/Comparison_of_programming...

    For function that manipulate strings, modern object-oriented languages, like C# and Java have immutable strings and return a copy (in newly allocated dynamic memory), while others, like C manipulate the original string unless the programmer copies data to a new string. See for example Concatenation below. The most basic example of a string ...

  3. 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]

  4. C string handling - Wikipedia

    en.wikipedia.org/wiki/C_string_handling

    Strings are passed to functions by passing a pointer to the first code unit. Since char * and wchar_t * are different types, the functions that process wide strings are different than the ones processing normal strings and have different names. String literals ("text" in the C source code) are converted to arrays during compilation. [2]

  5. Swap (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Swap_(computer_programming)

    This operation may be generalized to other types of values, such as strings and aggregated data types. Comparison sorts use swaps to change the positions of data. In many programming languages the swap function is built-in. In C++, overloads are provided allowing std::swap to exchange some large structures in O(1) time.

  6. Array (data type) - Wikipedia

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

    However, C and C++ will use a linear indexing formula for multi-dimensional arrays that are declared with compile time constant size, e.g. by int A [10][20] or int A [m][n], instead of the traditional int ** A. [8] The C99 standard introduced Variable Length Array types that let define array types with dimensions computed in run time.

  7. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.

  8. Row- and column-major order - Wikipedia

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

    Note how the use of A[i][j] with multi-step indexing as in C, as opposed to a neutral notation like A(i,j) as in Fortran, almost inevitably implies row-major order for syntactic reasons, so to speak, because it can be rewritten as (A[i])[j], and the A[i] row part can even be assigned to an intermediate variable that is then indexed in a separate expression.

  9. Symmetric monoidal category - Wikipedia

    en.wikipedia.org/wiki/Symmetric_monoidal_category

    A symmetric monoidal category is a monoidal category (C, ⊗, I) such that, for every pair A, B of objects in C, there is an isomorphism : called the swap map [1] that is natural in both A and B and such that the following diagrams commute: The unit coherence: The associativity coherence:

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