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  2. Snap! (programming language) - Wikipedia

    en.wikipedia.org/wiki/Snap!_(programming_language)

    (formerly Build Your Own Blocks) is a free block-based educational graphical programming language and online community. Snap allows students to explore, create, and remix interactive animations, games, stories, and more, while learning about mathematical and computational ideas. While inspired by Scratch, Snap! has many

  3. web2py - Wikipedia

    en.wikipedia.org/wiki/Web2py

    Web2py is an open-source web application framework written in the Python programming language.Web2py allows web developers to program dynamic web content using Python.Web2py is designed to help reduce tedious web development tasks, such as developing web forms from scratch, although a web developer may build a form from scratch if required.

  4. Pygame - Wikipedia

    en.wikipedia.org/wiki/Pygame

    Pygame was originally written by Pete Shinners to replace PySDL after its development stalled. [2] [8] It has been a community project since 2000 [9] and is released under the free software GNU Lesser General Public License [5] (which "provides for Pygame to be distributed with open source and commercial software" [10]).

  5. EarSketch - Wikipedia

    en.wikipedia.org/wiki/EarSketch

    This particular tutorial is an introduction to computer science where students compose their first song with EarSketch. The units are divided into chapters. Each chapter has several sections, a summary, a quiz, and associated slides. The curriculum contains Python and JavaScript example code that can be pasted into the code editor.

  6. Construct (Python library) - Wikipedia

    en.wikipedia.org/wiki/Construct_(Python_library)

    Construct is a Python library for the construction and deconstruction of data structures in a declarative fashion. In this context, construction, or building, refers to the process of converting (serializing) a programmatic object into a binary representation.

  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. 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]

  9. 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 ...