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Imageviewer 4.0
Imageviewer 4.0













imageviewer 4.0
  1. IMAGEVIEWER 4.0 INSTALL
  2. IMAGEVIEWER 4.0 CODE

  • Tim George, Cal Poly (UI/UX design, strategy, management, user needs analysis).
  • Jessica Forde, Project Jupyter (demo, documentation).
  • Technical leadership, vision, PhosphorJS)
  • Chris Colbert, Project Jupyter (co-creator, application/low-level architecture,.
  • Jeremy Tuloup, QuantStack (general development, extensions).
  • Steven Silvester, MongoDB (co-creator, release management, packaging,.
  • Isabela Presedo-Floyd, QuanSight Labs (design/UX).
  • Fernando Perez, UC Berkeley (co-creator, vision).
  • Gonzalo Peña-Castellanos, QuanSight (general development, i18n, extensions).
  • Max Klein, JPMorgan Chase (UI Package, build system, general development, extensions).
  • Michał Krassowski, University of Oxford (general development, extensions).
  • Jason Grout, Databricks (co-creator, vision, general development).
  • Brian Granger, AWS (co-creator, strategy, vision, management, UI/UX design,.
  • Fauske, JPMorgan Chase (general development, extensions).

    IMAGEVIEWER 4.0 CODE

    Prolific contributions throughout the code base). Afshin Darian, Two Sigma (co-creator, application/high-level architecture,.Martha Cryan, IBM (general development, extensions).Frédéric Collonval, QuantStack (general development, extensions).Eric Charles, Datalayer, (general development, extensions).Alex Bozarth, IBM (general development, extensions).Mehmet Bektas, Netflix (general development, extensions).JupyterLab's current maintainers are listed in alphabetical order, with affiliation, and main areas of contribution: The maintenance team is assisted by a much larger group of contributors to JupyterLab and Project Jupyter as a whole. JupyterLab is part of Project Jupyter and is developed by an open community. All code is licensed under the terms of the revised BSD license. JupyterLab uses a shared copyright model that enables all contributors to maintain theĬopyright on their contributions. JupyterLab follows the Jupyter Community Guides. To contribute code or documentation to JupyterLab itself, please read the contributor documentation. To start developing an extension for JupyterLab, see the developer documentation and the API docs. To request a feature please use the feature request template. We also welcome suggestions for new features as they help make the project more useful for everyone. If related discussion is still needed after an issue is locked, please open a new issue and reference the old issue. To keep resolved issues self-contained, the lock bot will lock closed issues as resolved after a period of inactivity. To report a bug please read the guidelines and then open a Github issue.

    imageviewer 4.0

    A question answered there can become a useful resource for others. We encourage you to ask questions on the Discourse forum. See our documentation for additional details. The latest versions of the following browsers are currently known to work: Alternatively, you can start up JupyterLab using ~/.local/bin/jupyter lab without changing the PATH environment variable. If you encounter an error like "Command 'jupyter' not found", please make sure PATH environment variable is set correctly. See the documentation for additional details. JupyterLab will open automatically in the browser.

    IMAGEVIEWER 4.0 INSTALL

    If you use conda, mamba, or pip, you can install JupyterLab with one of the following commands. Read the current JupyterLab documentation on ReadTheDocs. To learn more about extensions, see the user documentation. You can also find JupyterLab extensions exploring GitHub topic jupyterlab-extension. The source extensions can be installedĭirectly from npm (search for jupyterlab-extension) but require additional build step. The prebuilt extensions can be distributedĬonda, and other package managers. JupyterLab can be extended using npm packages Terminal, text editor, file browser, rich outputs, etc.) in a flexible and JupyterLab is the next-generation user interface for Project Jupyter offeringĪll the familiar building blocks of the classic Jupyter Notebook (notebook, An extensible environment for interactive and reproducible computing, based on the















    Imageviewer 4.0