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  2. Spyder (software) - Wikipedia

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

    Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. [ 4][ 5] It is ...

  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. List of SysML tools - Wikipedia

    en.wikipedia.org/wiki/List_of_SysML_tools

    Python Innoslate: SPEC Innovations [10] Cross-platform (Java) 2013 2021-5-17 (v4.4.1) [11] No Commercial. Free education edition, subscription model Java MagicDraw: No Magic, a Dassault Systèmes company Windows, Windows Server, Linux, Mac OS X (Java SE 11-compatible) [12] 1998 2022-07-01 (2022x) [13] No Commercial Java Microsoft Visio ...

  5. Python Tools for Visual Studio - Wikipedia

    en.wikipedia.org/wiki/Python_Tools_for_Visual_Studio

    Website. visualstudio .microsoft .com /vs /features /python /. Python Tools for Visual Studio (PTVS) is a free and open-source plug-in for versions of Visual Studio up to VS 2015 providing support for programming in Python. Since VS 2017, it is integrated in VS and called Python Support in Visual Studio. It supports IntelliSense, debugging ...

  6. 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.

  7. 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. [3] 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 ...

  8. Cucumber (software) - Wikipedia

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

    It is designed to be non-technical and human readable, and collectively describes use cases relating to a software system. [7] [8] [24] [25] The purpose behind Gherkin's syntax is to promote behavior-driven development practices across an entire development team, including business analysts and managers. It seeks to enforce firm, unambiguous ...

  9. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 70] and metaobjects ). [ 71] Many other paradigms are supported via extensions, including design by ...