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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.
Read the Docs is an open-sourced free software documentation hosting platform. [1] It generates documentation written with the Sphinx documentation generator , MkDocs , [ 2 ] or Jupyter Book. [ 3 ]
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JAX is a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).
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]
Google also released Colaboratory, a TensorFlow Jupyter notebook environment that does not require any setup. [69] It runs on Google Cloud and allows users free access to GPUs and the ability to store and share notebooks on Google Drive. [70]
Javadoc (also capitalized as JavaDoc or javadoc) is an API documentation generator for the Java programming language. Based on information in Java source code, Javadoc generates documentation formatted as HTML and via extensions, other formats. [1] Javadoc was created by Sun Microsystems and is owned by Oracle today.
It runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, and Google Docs, according to Verma et al. [6] Registration requires a credit card or bank account details. [7] Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing ...