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Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]
In addition to including the features, languages and plugins supported by VS Code, it has unique functionality built by Google. These include a built-in generative artificial intelligence assistant powered by Gemini , Nix integrations, and iOS and Android emulators .
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.
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]
OpenShot added support for ChromeOS in version 2.6.0 (released in 2021). [10] There is an unofficial portable version beginning in 2020. [11] OpenShot is written in Python, PyQt5, C++ and offers a Python API. [12] OpenShot's core video editing functionality is implemented in a C++ library, libopenshot. The core audio editing is based on the ...
The Language Server Protocol (LSP) is an open, JSON-RPC-based protocol for use between source code editors or integrated development environments (IDEs) and servers that provide "language intelligence tools": [1] programming language-specific features like code completion, syntax highlighting and marking of warnings and errors, as well as refactoring routines.
Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported platforms (and Windows 7 or even Windows XP) and for Android. It claims complete support for Python 3.10, some support for 3.11 and 3.12 and experimental support for Python 3.13. It supports macOS including Apple Silicon-based.
SFML is written in C++ and provides a C++ interface (it also provides a C interface through the official CSFML binding). Several language bindings exist that enable using SFML in other programming languages. [3] This table lists supported bindings for SFML as of 2024.