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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.
A common use of Binder is for sharing a Jupyter notebook in a way that the recipient can immediately execute in a browser. [3] The Binder project maintains core libraries and documentation for running Binder services, which make those projects available, as well as BinderHub, a tool for deploying such services via common cloud computing ...
A programmatic interface that makes analysis modules available to computational biologists and developers from Python, Java, MATLAB, and R. The GenePattern Notebook Environment : Built on the Jupyter Notebook environment, GenePattern Notebook allows researchers to run GenePattern analyses within notebooks that interleave text, graphics, and ...
The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software. It is licensed by the GNU Project and available under the GNU General Public License. [3] It is written primarily in C, Fortran, and R itself.
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]
“Farmers in California, they’re losing their land, crops and their livelihood, all because of a 2-inch fish,” he said, before tossing the show to a package featuring then-Rep. Devin Nunes (R ...
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
[10] [11] [12] It is available both in browsers via Jupyter notebooks, [12] [13] and locally on Linux and macOS. [14] [15] Mojo aims to combine the usability of a high-level programming language, specifically Python, with the performance of a system programming language such as C++, Rust, and Zig. [16]