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  2. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...

  3. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.

  4. 2–3 tree - Wikipedia

    en.wikipedia.org/wiki/2–3_tree

    In computer science, a 23 tree is a tree data structure, where every node with children (internal node) has either two children (2-node) and one data element or three children (3-node) and two data elements. A 23 tree is a B-tree of order 3. [1] Nodes on the outside of the tree have no children and one or two data elements. [2] [3] 23 ...

  5. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    Parallel 2.x and 3.x releases then ceased, and Python 2.7 was the last release in the 2.x series. [30] In November 2014, it was announced that Python 2.7 would be supported until 2020, but users were encouraged to move to Python 3 as soon as possible. [31] Python 2.7 support ended on January 1, 2020, along with code freeze of 2

  6. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system .

  7. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "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 engineering.

  8. Library sort - Wikipedia

    en.wikipedia.org/wiki/Library_sort

    [2] Like the insertion sort it is based on, library sort is a comparison sort; however, it was shown to have a high probability of running in O(n log n) time (comparable to quicksort), rather than an insertion sort's O(n 2). There is no full implementation given in the paper, nor the exact algorithms of important parts, such as insertion and ...

  9. Theano (software) - Wikipedia

    en.wikipedia.org/wiki/Theano_(software)

    Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. [2] In Theano, computations are expressed using a NumPy -esque syntax and compiled to run efficiently on either CPU or GPU architectures.