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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.
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).
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.
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 .
Written in Java only Windows Linux macOS Other platforms GUI builder Profiling RDBMS EE Limitations BlueJ: GPL2+GNU linking exception: No Yes Yes Yes Yes Solaris: No Not a General IDE; a small scale UML editor DrJava: Permissive: No Yes Yes Yes Yes Solaris: No Java 8 only (2014) Eclipse JDT: EPL: Yes No [40] Yes Yes Yes FreeBSD, JVM, Solaris ...
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Jupiter JVM is an open-source Java virtual machine, [1] which was developed as a master thesis with modularity and extensibility in mind. It uses Boehm garbage collector and GNU Classpath. The main aspects of its design can be simplified as:
This is a fully managed Jupyter Notebook service. [28] Cloud Dataprep – Data service based on Trifacta to visually explore, clean, and prepare data for analysis. [29] Cloud Pub/Sub – Scalable event ingestion service based on message queues. [30] Looker Studio – Business intelligence tool to visualize data through dashboards and reports. [31]