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  2. Binder Project - Wikipedia

    en.wikipedia.org/wiki/Binder_Project

    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 ...

  3. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    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. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.

  5. It’s common for us to work on these projects using Jupyter notebooks because they’re great, fast, simple, and they allow us to interact and play with our data. How to build interactive data ...

  6. CoCalc - Wikipedia

    en.wikipedia.org/wiki/CoCalc

    CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function. Additionally, there is also a full LaTeX editor, with collaboration support, a preview of the resulting document and also support for SageTeX .

  7. EDINA - Wikipedia

    en.wikipedia.org/wiki/EDINA

    Some services are also provided to researchers outside the UK academic sector. A key service, offered since January 2000, is Digimap, with its core Ordnance Survey collection. [2] Since 2017, EDINA has also offered Noteable, an online hosting platform for computational notebooks, which is built from the open-source Jupyter Notebook environment.

  8. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    This is a fully managed Jupyter Notebook service. [27] Cloud Dataprep – Data service based on Trifacta to visually explore, clean, and prepare data for analysis. [28] Cloud Pub/Sub – Scalable event ingestion service based on message queues. [29] Looker Studio – Business intelligence tool to visualize data through dashboards and reports. [30]

  9. IPython - Wikipedia

    en.wikipedia.org/wiki/IPython

    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 .