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A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.
[4] [5] [6] It is available both in browsers via Jupyter notebooks, [6] [7] and locally on Linux and macOS. [ 8 ] [ 9 ] 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 . [ 10 ]
IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name. [11] [12] Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia, Python, and R. [13]
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 ...
PyCharm Professional Edition is commercial, proprietary software and is gratis for open-source projects and for some educational uses. [20] It is paid on a subscription basis, though after paying for one year a "Perpetual Fallback License" will be granted for the version which was available one year before ending the subscription.
A notebook interface or computational notebook is a virtual notebook environment used for literate programming, a method of writing computer programs. [1] Some notebooks are WYSIWYG environments including executable calculations embedded in formatted documents; others separate calculations and text into separate sections.
LeDock utilizes a simulated annealing and genetic algorithm approach for facilitating the docking process of ligands with protein targets. The software employs a knowledge-based scoring scheme that is derived from extensive prospective virtual screening campaigns.
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 ]