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Visual Studio Code was first announced on April 29, 2015 by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [14]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.
Has a plotting pane. Juno team merged with VS Code extension team (see below); Juno now in maintenance mode. Emacs / spacemacs: portions in GPL v2, LGPL, BSD and public domain: Yes Yes Yes FreeBSD: Yes Yes ESS extension support for emacs. vi support also available, e.g. in spacemacs (useful for pair programming). Visual Studio Code (using the ...
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 [73] and metaobjects). [74] Many other paradigms are supported via extensions, including design by ...
Thonny (/ ˈ θ ɒ n i / THON-ee) is a free and open-source integrated development environment for Python that is designed for beginners. It was created by Aivar Annamaa, an Estonian programmer. It was created by Aivar Annamaa, an Estonian programmer.
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 ...
Codelobster, a cross-platform IDE for various languages, including Python. EasyEclipse, an open source IDE for Python and other languages. Eclipse ,with the Pydev plug-in. Eclipse supports many other languages as well. Emacs, with the built-in python-mode. [1] Eric, an IDE for Python and Ruby.
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.
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 ...