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  2. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    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 contributions ...

  3. Ninja-IDE - Wikipedia

    en.wikipedia.org/wiki/Ninja-IDE

    Ninja-IDE. NINJA-IDE (from the recursive acronym: "Ninja-IDE Is Not Just Another IDE"), is a cross-platform integrated development environment (IDE) designed to build Python applications. It provides tools to simplify Python software development and handles many kinds of situations thanks to its rich extensibility.

  4. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  5. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Quixote, a framework for developing Web applications in Python. RapidSMS, a web framework which extends the logic and capabilities of Django to communicate with SMS messages. Spyce, a technology to embed Python code into webpages. TACTIC, a web-based smart process application and digital asset management system.

  6. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  7. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Python. PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer.

  8. List of open-source software for mathematics - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Xcas. Xcas/Giac is an open-source project developed at the Joseph Fourier University of Grenoble since 2000. Written in C++, maintained by Bernard Parisse's [ fr] et al. and available for Windows, Mac, Linux and many others platforms. It has a compatibility mode with Maple, Derive and MuPAD software and TI-89, TI-92 and Voyage 200 calculators.

  9. Code reuse - Wikipedia

    en.wikipedia.org/wiki/Code_reuse

    In software development (and computer programming in general), code reuse, also called software reuse, is the use of existing software, or software knowledge, to build new software, [1] [2] : 7 following the reusability principles . Code reuse may be achieved by different ways depending on a complexity of a programming language chosen and range ...