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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.
This is a list of ELN software packages. It is incomplete, as a recent review listed 96 active & 76 inactive (172 total) ELN products. [ 4 ] Notably, this review and other lists of ELN software often do not include widely used generic notetaking software like Onenote , Notion , Jupyter etc, due to their lack ELN nominal features like time ...
According to Stephen Wolfram: "The idea of a notebook is to have an interactive document that freely mixes code, results, graphics, text and everything else.", [4] and according to the Jupyter Project Documentation: "The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based ...
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]
Python is, or can be used as the scripting language in these notable software products: Abaqus (Finite Element Software) ADvantage Framework; Amarok; ArcGIS, a prominent GIS platform, allows extensive modelling using Python; Autodesk Maya, professional 3D modeler allows Python scripting as an alternative to MEL as of version 8.5; Autodesk ...
This page was last edited on 26 November 2021, at 16:57 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
It 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. [4] [5]
Conda is an open source, [16] cross-platform, [17] language-agnostic [18] package manager and environment management system [19] [20] [50] that installs, runs, and updates packages and their dependencies. [16] It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language ...