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Visual Studio Code, also commonly referred to as VS Code, [10] is a source-code editor developed by Microsoft for Windows, Linux, macOS and web browsers. [11] [12] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git.
Spyder (software) 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.
Mojo. Mojo is a programming language in the Python family that is currently under development. [2] [3] [4] It is available both in browsers via Jupyter notebooks, [4] [5] and locally on Linux and macOS. [6] [7] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of lower level ...
List of source code editors Editor Site Latest version Style, clone of Cost Software license Open source Browser support Activity Ace: Home, demo: v1.4.12, 2020-7 Sublime Text / Microsoft Visual Studio Free New BSD License: Yes: Firefox 3.5+, Safari 4+, Chrome, IE 8+, Opera 11.5+ Yes Atom: Home: v1.50.0-beta0, 2020-07-14 Emacs, Vim and others ...
Microsoft Visual Studio (formerly Python Tools for Visual Studio) Microsoft 16.9 2021-03-02 Windows: C++ and C#: Windows Forms and WPF, through IronPython: Python tools under Apache License 2.0: Yes Yes Yes No Unknown Unknown Unknown Yes: Unknown Unknown Yes Basic refactoring Yes Yes MonoDevelop: Novell and the Mono community 6.1.2.44 ...
MIT License ( free software) [ 6][ 7] Website. atom .io. Atom is a free and open-source text and source-code editor for macOS, Linux, and Windows with support for plug-ins written in JavaScript, and embedded Git control. Developed by GitHub, Atom was released on June 25, 2015.
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.