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  2. pip (package manager) - Wikipedia

    en.wikipedia.org/wiki/Pip_(package_manager)

    An output of pip install virtualenv. Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers ...

  3. Robot Framework - Wikipedia

    en.wikipedia.org/wiki/Robot_Framework

    Version 2.0 was released as open source software June 24, 2008 and version 3.0.2 was released February 7, 2017. [4] The framework is written using the Python programming language and has an active community of contributors. It is released under Apache License 2.0 and can be downloaded from robotframework.org.

  4. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.

  5. ML.NET - Wikipedia

    en.wikipedia.org/wiki/ML.NET

    ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]

  6. Python Robotics - Wikipedia

    en.wikipedia.org/wiki/Python_Robotics

    Python Robotics (Pyro) is a project designed to create an easy-to-use interface for accessing and controlling a wide variety of real and simulated robots. History [ edit ]

  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. Open-source robotics - Wikipedia

    en.wikipedia.org/wiki/Open-source_robotics

    An open source iCub robot mounted on a supporting frame. The robot is 104 cm high and weighs around 22 kg. Open-source robotics is a branch of robotics where robots are developed with open-source hardware and free and open-source software, publicly sharing blueprints, schematics, and source code.

  9. Django (web framework) - Wikipedia

    en.wikipedia.org/wiki/Django_(web_framework)

    1 Apr 2020: Last version to support Python 2.7. Support ended on 1 April 2020: 2.0 [45] 2 Dec 2017: 1 Aug 2018: 1 Apr 2019: First Python 3-only release, Simplified URL routing syntax, Mobile friendly admin. 2.1 [46] 1 Aug 2018: 1 Apr 2019: 2 Dec 2019: Model "view" permission. 2.2 LTS [47]

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