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  2. Python Tools for Visual Studio - Wikipedia

    en.wikipedia.org/wiki/Python_Tools_for_Visual_Studio

    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, profiling, MPI cluster debugging, mixed C++/Python debugging, and ...

  3. py2exe - Wikipedia

    en.wikipedia.org/wiki/Py2exe

    Before then, py2exe was made only for Python 2, [4] and it was necessary to use an alternative like cx_Freeze for Python 3 code. Although this program transforms a .py file to an .exe, it does not make it run faster because py2exe bundles the Python bytecode without converting it to machine-code.

  4. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  5. Docker (software) - Wikipedia

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

    Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. [6] It was first released in 2013 and is developed by Docker, Inc. [7]

  6. PyCharm - Wikipedia

    en.wikipedia.org/wiki/PyCharm

    PyCharm was released to the market of the Python-focused IDEs to compete with PyDev (for Eclipse) or the more broadly focused Komodo IDE by ActiveState. [ citation needed ] The beta version of the product was released in July 2010, with the 1.0 arriving 3 months later.

  7. Anaconda (Python distribution) - Wikipedia

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

    Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]

  8. Vagrant (software) - Wikipedia

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

    Vagrant is written in Ruby, but it can be used in projects written in other programming languages such as PHP, Python, Java, C#, and JavaScript. [7] [8] Since version 1.6, Vagrant natively supports Docker containers, which in some cases can serve as a substitute for a fully virtualized operating system. [9]

  9. ProGet - Wikipedia

    en.wikipedia.org/wiki/ProGet

    ProGet currently supports a growing list of package managers, including NuGet, Chocolatey, Bower, npm, Maven, PowerShell, RubyGems, Helm for Kubernetes, Debian, Python, and Visual Studio Extensions (.vsix). ProGet also supports Docker containers, Jenkins build artifacts (through a plugin) and vulnerability scanning.