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  2. DEAP (software) - Wikipedia

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

    Distributed Evolutionary Algorithms in Python (DEAP) is an evolutionary computation framework for rapid prototyping and testing of ideas. [2] [3] [4] It incorporates the data structures and tools required to implement most common evolutionary computation techniques such as genetic algorithm, genetic programming, evolution strategies, particle swarm optimization, differential evolution, traffic ...

  3. RUR-PLE - Wikipedia

    en.wikipedia.org/wiki/RUR-PLE

    RUR - Python Learning Environment (RUR-PLE) is an educational tool to help students learn the Python programming language. Made by André Roberge. RUR-PLE uses the idea behind Karel the Robot, making the learning of Python programming more interesting. A student writes a program that controls a 'robot' that moves through a city consisting of a ...

  4. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    The platform also provides courses for learning command line and Git. [3] In September 2015, Codecademy, in partnership with Periscope, added a series of courses designed to teach SQL, the predominant programming language for database queries. [21] In October 2015, Codecademy created a new course, a class on Java programming. As of January 2014 ...

  5. 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 ...

  6. Alice (software) - Wikipedia

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

    Alice is an object-based educational programming language with an integrated development environment (IDE). Alice uses a drag and drop environment to create computer animations using 3D models . The software was developed first at University of Virginia in 1994, then Carnegie Mellon (from 1997), by a research group led by Randy Pausch .

  7. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    ML.NET is a free-software machine-learning library for the C# programming language. [4] [5] NAG Library is an extensive software library of highly optimized numerical-analysis routines for various programming environments. O-Matrix is a proprietary licensed matrix programming language for mathematics, engineering, science, and financial analysis.

  8. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  9. David M. Beazley - Wikipedia

    en.wikipedia.org/wiki/David_M._Beazley

    David Beazley is an American software engineer. He has made significant contributions to the Python developer community, which includes writing the definitive Python reference text Python Essential Reference, the SWIG software tool for creating language agnostic C and C++ extensions, and the PLY parsing tool.