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Project Jupyter (/ ˈ dʒ uː p ɪ t ər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages. It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger.
RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. OS support depends on the format/edition of the IDE. Prepackaged distributions of RStudio Desktop are available for Windows, macOS, and Linux. RStudio Server and Server Pro run on Debian, Ubuntu, Red Hat Linux, CentOS, openSUSE and SLES. [10]
gLinux is a Debian Testing-based Linux distribution used at Google as a workstation operating system. [1] The Google gLinux team builds the system from source code, introducing their own changes.
Linux Mint 2.0 'Barbara' was the first version to use Ubuntu as its codebase and its GNOME interface. It had few users until the release of Linux Mint 3.0, 'Cassandra'. [14] [15] Linux Mint 2.0 was based on Ubuntu 6.10, [citation needed] using Ubuntu's package repositories and using it as a codebase. It then followed its own codebase, building ...
Free software portal; Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python.It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3]
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
Ubuntu (/ ʊ ˈ b ʊ n t uː / ⓘ uu-BUUN-too) [8] is a Linux distribution derived from Debian and composed mostly of free and open-source software. [9] [10] [11] Ubuntu is officially released in multiple editions: Desktop, [12] Server, [13] and Core [14] for Internet of things devices [15] and robots.
R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).