Interactive Mapping with ipyopenlayers

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Bringing the Power of OpenLayers to Jupyter.Interactive maps play a crucial role in presenting complex geospatial information in a clear and engaging manner. While the Python ecosystem already offers an impressive range of libraries for visualization, ipyopenlayers stands out as a powerful new tool that allows for the seamless integration of…

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Announcing the 2023 Jupyter Distinguished Contributor Award Recipients

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We are delighted to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2023 cohort.Project Jupyter Distinguished Contributors are recognized for their significant and sustained contributions to Jupyter over a period of at least two years. These contributions encompass a wide range of areas, including code development, code…

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Community Building Report: Project Jupyter

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The Jupyter Community Building Working Group would like to share a report and community building recommendations from interviews with members of Project Jupyter subprojects. We invite you to view the full report by clicking here and we welcome feedback on the Jupyter Discourse channel.Community Building Report: Executive SummaryIn late 2023,…

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Make your Pandas or Polars DataFrames Interactive with ITables 2.0

ITables, or Interactive Tables, is a MIT-licensed Python package that renders Python DataFrames using the DataTables JavaScript library. ITables 2.0, that I have just released, adds support for the DataTables Extensions. In this post we review the functionalities brought by this release.How to use ITables, and what you getITables can be installed…

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JupyterLab Desktop UI Modes

We are pleased to announce UI Mode features recently added to JupyterLab Desktop (JLD). JupyterLab Desktop now provides a convenient way to set the JupyterLab UI layout per project and introduces an new layout mode: “Zen Mode”.UI Mode menuThere is now a new sub-menu under session menu, titled “UI Mode”, which lets…

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Python environment management using JupyterLab Desktop CLI

JupyterLab Desktop (JLD) CLI provides several commands and options to manage Python environments for use in the application. In my previous blog post I had covered using JLD UI to manage Python environments. You can use jlab CLI commands to do the same and for additional environment management options.Setting up…

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JupyterLab 4.1 and Notebook 7.1 are here

JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension developers. This release is compatible with extensions supporting JupyterLab 4.0 and Notebook 7.0.JupyterLab 4.1 is one of the largest minor releases of JupyterLab to date, bringing 6 new features, 39 enhancements,…

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Curvenote joins the mybinder.org federation

Curvenote is now a part of the mybinder.org federation. By hosting a BinderHub instance running on the company’s infrastructure, additional capacity is available on the https://mybinder.org service.curvenote.com/for/journalsThe mybinder.org project provides a critical, free public service for scientists, researchers and educators worldwide. The ability to spin up a Jupyter server to…

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Python Environment management in JupyterLab Desktop

Python environment management in JupyterLab DesktopWe are pleased to announce Python environment management features recently added to JupyterLab Desktop (JLD). Now you can create new Python environments and manage existing ones on your system, right from JupyterLab Desktop UI.Python environment management dialogPython environments and their use in JupyterLab DesktopThe standard distribution…

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