<?xml version="1.0" encoding="utf-8"?>

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<id/>

<title>All blog posts featured by QuantStack team</title>

<updated>2026-04-02T15:13:26.013Z</updated>

<generator>https://github.com/jpmonette/feed</generator>

<subtitle>Atom feed for QuantStack website blog page</subtitle>

<entry>

<title type="html"><![CDATA[How notebook.link Scales Without Backends]]></title>

<id>https://prefix.dev/blog/serverless-scientific-computing-how-notebook-link-scales-without-backends</id>

<link href="https://prefix.dev/blog/serverless-scientific-computing-how-notebook-link-scales-without-backends"/>

<updated>2026-03-27T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Notebook-Link-Prefix.png" alt="Image for How notebook.link Scales Without Backends" style="max-width:100%; height:auto;" /><p>Notebook.link combines WebAssembly and the conda ecosystem to deliver scalable, serverless computing environments that run entirely in the browser.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Faster Reads for Apache Parquet: Improving Integer Unpacking]]></title>

<id>https://medium.com/@AntoineProuvost/faster-reads-for-apache-parquet-improving-integer-unpacking-f6e21ce49a85</id>

<link href="https://medium.com/@AntoineProuvost/faster-reads-for-apache-parquet-improving-integer-unpacking-f6e21ce49a85"/>

<updated>2026-03-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Accelerating-Arrow.png" alt="Image for Faster Reads for Apache Parquet: Improving Integer Unpacking" style="max-width:100%; height:auto;" /><p>By rewriting the SIMD optimizations of a critical low-level algorithm in Arrow C++, we have been able to deliver substantial speedups when reading Parquet data, up to 60% on some Arrow benchmarks with specific column encodings.</p>]]></content>

<author>

<name>Antoine Prouvost</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Expanding Geospatial Workflows in JupyterGIS: STAC Browsing and Story Maps]]></title>

<id>https://blog.jupyter.org/expanding-geospatial-workflows-in-jupytergis-stac-browsing-and-story-maps-7fb98eece82e</id>

<link href="https://blog.jupyter.org/expanding-geospatial-workflows-in-jupytergis-stac-browsing-and-story-maps-7fb98eece82e"/>

<updated>2026-02-19T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Story-Maps.png" alt="Image for Expanding Geospatial Workflows in JupyterGIS: STAC Browsing and Story Maps" style="max-width:100%; height:auto;" /><p>We introduce two new JupyterGIS features: a STAC browser integrated directly into JupyterGIS, and a new Story Map feature, which makes it possible to combine maps and narrative content in a single, interactive view.</p>]]></content>

<author>

<name>Gregory Mooney</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLite Officially Joins Project Jupyter]]></title>

<id>https://blog.jupyter.org/jupyterlite-officially-joins-project-jupyter-77df24c8db80</id>

<link href="https://blog.jupyter.org/jupyterlite-officially-joins-project-jupyter-77df24c8db80"/>

<updated>2026-02-12T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-Joins-Jupyter.png" alt="Image for JupyterLite Officially Joins Project Jupyter" style="max-width:100%; height:auto;" /><p>We are thrilled to announce that JupyterLite is now an official part of Project Jupyter. This milestone marks a significant step forward for interactive computing in the browser and strengthens JupyterLite’s role within the Jupyter ecosystem.</p>]]></content>

<author>

<name>Jérémy Tuloup, Sylvain Corlay, Fernando Pérez</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Instantly view Parquet files in JupyterLab with Arbalister]]></title>

<id>https://blog.jupyter.org/instantly-view-parquet-files-in-jupyterlab-with-arbalister-4799c28bbce7</id>

<link href="https://blog.jupyter.org/instantly-view-parquet-files-in-jupyterlab-with-arbalister-4799c28bbce7"/>

<updated>2026-01-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Arbalister.png" alt="Image for Instantly view Parquet files in JupyterLab with Arbalister" style="max-width:100%; height:auto;" /><p>Arbalister is a JupyterLab extension that enables seamless viewing of many tabular file formats, including Parquet, CSV, Avro, ORC, and SQLite.</p>]]></content>

<author>

<name>Antoine Prouvost</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Introducing notebook.link: The Future of Notebook Sharing]]></title>

<id>https://medium.com/@QuantStack/introducing-notebook-link-the-future-of-notebook-sharing-5de900a97b4a</id>

<link href="https://medium.com/@QuantStack/introducing-notebook-link-the-future-of-notebook-sharing-5de900a97b4a"/>

<updated>2026-01-22T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Introducing-Notebook-Link.png" alt="Image for Introducing notebook.link: The Future of Notebook Sharing" style="max-width:100%; height:auto;" /><p>We are excited to unveil notebook.link, a groundbreaking platform that simplifies sharing and running notebooks like never before.</p>]]></content>

<author>

<name>QuantStack</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLite 0.7 is released! 🎉]]></title>

<id>https://blog.jupyter.org/jupyterlite-0-7-is-released-67db4d1609ad</id>

<link href="https://blog.jupyter.org/jupyterlite-0-7-is-released-67db4d1609ad"/>

<updated>2025-12-04T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-07.png" alt="Image for JupyterLite 0.7 is released! 🎉" style="max-width:100%; height:auto;" /><p>The new 0.7 release includes a number of new features, bug fixes, and enhancements. This release also brings significant improvements to the user experience and new customization options for JupyterLite deployments.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible]]></title>

<id>https://thenewstack.io/teaching-a-billion-people-to-code-how-jupyterlite-is-scaling-the-impossible/</id>

<link href="https://thenewstack.io/teaching-a-billion-people-to-code-how-jupyterlite-is-scaling-the-impossible/"/>

<updated>2025-12-01T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Teaching-a-Billion-People.png" alt="Image for Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible" style="max-width:100%; height:auto;" /><p>QuantStack, an “almost accidental startup,” is building a serverless distro of JupyterLab for Jupyter’s global adoption.</p>]]></content>

<author>

<name>Michelle Gienow</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLab 4.5 and Notebook 7.5 are available!]]></title>

<id>https://blog.jupyter.org/jupyterlab-4-5-and-notebook-7-5-are-available-1bcd1fa19a47</id>

<link href="https://blog.jupyter.org/jupyterlab-4-5-and-notebook-7-5-are-available-1bcd1fa19a47"/>

<updated>2025-11-24T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLab-45.png" alt="Image for JupyterLab 4.5 and Notebook 7.5 are available!" style="max-width:100%; height:auto;" /><p>JupyterLab 4.5 has been released! This new minor release of JupyterLab includes 51 new features and enhancements, 81 bug fixes, 44 maintenance tasks and 38 documentation improvements.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[GNU Octave Meets JupyterLite: Compute Anywhere, Anytime!]]></title>

<id>https://blog.jupyter.org/gnu-octave-meets-jupyterlite-compute-anywhere-anytime-8b033afbbcdc</id>

<link href="https://blog.jupyter.org/gnu-octave-meets-jupyterlite-compute-anywhere-anytime-8b033afbbcdc"/>

<updated>2025-10-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Octave-Lite.png" alt="Image for GNU Octave Meets JupyterLite: Compute Anywhere, Anytime!" style="max-width:100%; height:auto;" /><p>We are thrilled to announce the newest member of our JupyterLite kernel ecosystem: Xeus-Octave. Xeus-Octave allows you to run GNU Octave code directly on your browser.</p>]]></content>

<author>

<name>Isabel Paredes</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterGIS breaks through to the next level]]></title>

<id>https://eo4society.esa.int/2025/10/16/jupytergis-breaks-through-to-the-next-level/</id>

<link href="https://eo4society.esa.int/2025/10/16/jupytergis-breaks-through-to-the-next-level/"/>

<updated>2025-10-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterGIS-Next-Level.png" alt="Image for JupyterGIS breaks through to the next level" style="max-width:100%; height:auto;" /><p>Launched in June 2024, JupyterGIS was introduced as a collaborative, web-based GIS environment built on the JupyterLab framework. Its objective is to bring QGIS-inspired workflows into the browser…</p>]]></content>

<author>

<name>Martin Renou, Arjun Verma, Gregory Mooney, Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Sovereign Tech Agency Invests in Apache Arrow’s Future with QuantStack]]></title>

<id>https://medium.com/@QuantStack/sovereign-tech-agency-invests-in-apache-arrows-future-with-quantstack-d2f84c21c2cc</id>

<link href="https://medium.com/@QuantStack/sovereign-tech-agency-invests-in-apache-arrows-future-with-quantstack-d2f84c21c2cc"/>

<updated>2025-10-07T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/STF-Arrow.png" alt="Image for Sovereign Tech Agency Invests in Apache Arrow’s Future with QuantStack" style="max-width:100%; height:auto;" /><p>We are thrilled to announce that the Sovereign Tech Fund is providing critical funding to sustain and improve Apache Arrow, an essential open-source project in the modern data ecosystem.</p>]]></content>

<author>

<name>Antoine Pitrou, Raúl Cumplido</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack]]></title>

<id>https://www.open-source-ward.com/from-linux-parties-to-global-impact-an-interview-with-sylvain-corlay-founder-of-quantstack/</id>

<link href="https://www.open-source-ward.com/from-linux-parties-to-global-impact-an-interview-with-sylvain-corlay-founder-of-quantstack/"/>

<updated>2025-09-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/An-Interview-with-Sylvain-Corlay.png" alt="Image for From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack" style="max-width:100%; height:auto;" /><p>In today’s article, we had the chance to speak with Sylvain Corlay, long-time contributor of the Jupyter project, used by millions of people worldwide, and CEO-founder of QuantStack, an open-source development company employing around thirty people.</p>]]></content>

<author>

<name>Sylvain Corlay, Arthur Vervaet</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[A Year in Review: QuantStack’s Contributions to Apache Arrow]]></title>

<id>https://medium.com/@QuantStack/a-year-in-review-quantstacks-contributions-to-apache-arrow-7eba38acbcf2</id>

<link href="https://medium.com/@QuantStack/a-year-in-review-quantstacks-contributions-to-apache-arrow-7eba38acbcf2"/>

<updated>2025-09-02T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Arrow-a-Year-in-Review.png" alt="Image for A Year in Review: QuantStack’s Contributions to Apache Arrow" style="max-width:100%; height:auto;" /><p>Since November 2024, QuantStack has been involved in the maintenance and development of Apache Arrow. We have a team of several engineers working…</p>]]></content>

<author>

<name>Antoine Pitrou, Raúl Cumplido</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Create your own layers in JupyterGIS]]></title>

<id>https://david-brochart.medium.com/create-your-own-layers-in-jupytergis-cbb995a89b16</id>

<link href="https://david-brochart.medium.com/create-your-own-layers-in-jupytergis-cbb995a89b16"/>

<updated>2025-06-25T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Create-layers-JupyterGIS.png" alt="Image for Create your own layers in JupyterGIS" style="max-width:100%; height:auto;" /><p>JupyterGIS-tiler is a JupyterGIS extension that lets you use a notebook to process your (Xarray) data and make it available as raster tiles, so that it can be visualized in JupyterGIS.</p>]]></content>

<author>

<name>David Brochart</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[C++ in Jupyter — Interpreting C++ in the Web]]></title>

<id>https://blog.jupyter.org/c-in-jupyter-interpreting-c-in-the-web-c9d93542f20b</id>

<link href="https://blog.jupyter.org/c-in-jupyter-interpreting-c-in-the-web-c9d93542f20b"/>

<updated>2025-06-19T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/CPP-in-JupyterLite.png" alt="Image for C++ in Jupyter — Interpreting C++ in the Web" style="max-width:100%; height:auto;" /><p>Scientists and engineers utilize programming languages not only to build software systems but also to drive interactive exploratory workflows. They leverage developer tools to explore and reason through problems effectively.</p>]]></content>

<author>

<name>Anutosh Bhat, Vassil Vassilev</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLite 0.6.0 is released! 🎉]]></title>

<id>https://blog.jupyter.org/jupyterlite-0-6-0-is-released-b4bc69bfc8f4</id>

<link href="https://blog.jupyter.org/jupyterlite-0-6-0-is-released-b4bc69bfc8f4"/>

<updated>2025-06-12T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-06.png" alt="Image for JupyterLite 0.6.0 is released! 🎉" style="max-width:100%; height:auto;" /><p>The new 0.6.0 release includes a number of new features, bug fixes, and enhancements. This release also brings significant improvements to the user experience and new customization options for JupyterLite deployments.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLab 4.4 and Notebook 7.4 are available!]]></title>

<id>https://blog.jupyter.org/jupyterlab-4-4-and-notebook-7-4-are-available-aca2782d4f3d</id>

<link href="https://blog.jupyter.org/jupyterlab-4-4-and-notebook-7-4-are-available-aca2782d4f3d"/>

<updated>2025-05-21T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLab-44.png" alt="Image for JupyterLab 4.4 and Notebook 7.4 are available!" style="max-width:100%; height:auto;" /><p>JupyterLab 4.4 has been released! This new minor release of JupyterLab includes 28 new features and enhancements, 76 bug fixes, 63 maintenance tasks and 34 documentation improvements.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Congratulations, Distinguished Contributors!]]></title>

<id>https://blog.jupyter.org/congratulations-distinguished-contributors-2504029fc5a9</id>

<link href="https://blog.jupyter.org/congratulations-distinguished-contributors-2504029fc5a9"/>

<updated>2025-05-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Congratulations-Distinguished-Contributors-2025.png" alt="Image for Congratulations, Distinguished Contributors!" style="max-width:100%; height:auto;" /><p>We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2024 cohort of contributors.</p>]]></content>

<author>

<name>Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Making Qt collaborative using CRDTs]]></title>

<id>https://david-brochart.medium.com/making-qt-collaborative-using-crdts-94c470703253</id>

<link href="https://david-brochart.medium.com/making-qt-collaborative-using-crdts-94c470703253"/>

<updated>2025-03-31T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Collaborative-Qt.png" alt="Image for Making Qt collaborative using CRDTs" style="max-width:100%; height:auto;" /><p>A journal on creating a collaborative application with Qt</p>]]></content>

<author>

<name>David Brochart</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[R in the Browser: Announcing Our WebAssembly Distribution]]></title>

<id>https://blog.jupyter.org/r-in-the-browser-announcing-our-webassembly-distribution-9450e9539ed5</id>

<link href="https://blog.jupyter.org/r-in-the-browser-announcing-our-webassembly-distribution-9450e9539ed5"/>

<updated>2025-02-28T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Xeus-R-Lite.png" alt="Image for R in the Browser: Announcing Our WebAssembly Distribution" style="max-width:100%; height:auto;" /><p>R is now available in emscripten-forge, enabling the Xeus-R kernel in JupyterLite.</p>]]></content>

<author>

<name>Isabel Paredes</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS]]></title>

<id>https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6</id>

<link href="https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6"/>

<updated>2025-02-26T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Collaborative-GIS.png" alt="Image for Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS" style="max-width:100%; height:auto;" /><p>We are excited to announce JupyterGIS, a web-based, collaborative, and extensible interface for GIS, leveraging the JupyterLab application framework and integrating seamlessly with the Jupyter notebook interface.</p>]]></content>

<author>

<name>Meriem Ben Ismail, Nicolas Brichet, David Brochart, Matt Fisher, Anne Fouilloux, Greg Mooney, Martin Renou, Arjun Verma</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[PyData Paris 2025 Keynotes]]></title>

<id>https://medium.com/@PyDataParis/pydata-paris-2025-50ff2bf2dc39</id>

<link href="https://medium.com/@PyDataParis/pydata-paris-2025-50ff2bf2dc39"/>

<updated>2025-02-19T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/PyData-Paris-2025-Keynotes.png" alt="Image for PyData Paris 2025 Keynotes" style="max-width:100%; height:auto;" /><p>We are thrilled to announce the keynote speakers for the upcoming PyData Paris 2025, the leading gathering of the open-source data science and AI/ML community in France.</p>]]></content>

<author>

<name>Sandrine Pataut</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Announcing JupyterCAD 3.0]]></title>

<id>https://blog.jupyter.org/announcing-jupytercad-3-0-d8f4b7b0a719</id>

<link href="https://blog.jupyter.org/announcing-jupytercad-3-0-d8f4b7b0a719"/>

<updated>2025-02-17T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Announcing-JupyterCAD-3.0.png" alt="Image for Announcing JupyterCAD 3.0" style="max-width:100%; height:auto;" /><p>We are thrilled to introduce JupyterCAD 3.0, the newest version of the collaborative CAD modeler designed for JupyterLab.</p>]]></content>

<author>

<name>Arjun Verma, Trung Le, Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Sparrow]]></title>

<id>https://johan-mabille.medium.com/sparrow-1f23817f6696</id>

<link href="https://johan-mabille.medium.com/sparrow-1f23817f6696"/>

<updated>2025-01-31T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/sparrow.png" alt="Image for Sparrow" style="max-width:100%; height:auto;" /><p>We are thrilled to introduce Sparrow, a new library designed to simplify the integration of Apache Arrow’s columnar format into C++ applications.</p>]]></content>

<author>

<name>Johan Mabille, Alexis Placet, Thorsten Beier, Joël Lamotte</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLite Terminal]]></title>

<id>https://blog.jupyter.org/jupyterlite-terminal-edb3f80dc1c0</id>

<link href="https://blog.jupyter.org/jupyterlite-terminal-edb3f80dc1c0"/>

<updated>2024-11-13T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Jupyterlite-Terminal.png" alt="Image for JupyterLite Terminal" style="max-width:100%; height:auto;" /><p>QuantStack are delighted to announce that we have been working on a new Terminal for JupyterLite.</p>]]></content>

<author>

<name>Ian Thomas</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Automate your releases with the Jupyter Releaser 🚀]]></title>

<id>https://blog.jupyter.org/automate-your-releases-with-the-jupyter-releaser-701e7b9841e6</id>

<link href="https://blog.jupyter.org/automate-your-releases-with-the-jupyter-releaser-701e7b9841e6"/>

<updated>2024-10-28T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Automate-releases-jupyter-releaser.png" alt="Image for Automate your releases with the Jupyter Releaser 🚀" style="max-width:100%; height:auto;" /><p>Jupyter Releaser is an automation tool developed by the Jupyter team to streamline and standardize the release process across Jupyter projects.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[QuantStack Steps Up to Support Apache Arrow with New Dedicated Team]]></title>

<id>https://medium.com/@QuantStack/quantstack-steps-up-to-support-apache-arrow-with-new-dedicated-team-9ddc952f20e2</id>

<link href="https://medium.com/@QuantStack/quantstack-steps-up-to-support-apache-arrow-with-new-dedicated-team-9ddc952f20e2"/>

<updated>2024-10-22T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/QuantStack-Steps-Up-to-Support-Apache-Arrow-with-New-Dedicated-Team.png" alt="Image for QuantStack Steps Up to Support Apache Arrow with New Dedicated Team" style="max-width:100%; height:auto;" /><p> We are thrilled to announce that QuantStack is starting a new team dedicated to the maintenance and development of Apache Arrow.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Interactive Mapping with ipyopenlayers]]></title>

<id>https://blog.jupyter.org/interactive-mapping-with-ipyopenlayers-2b8bc93bb6c4</id>

<link href="https://blog.jupyter.org/interactive-mapping-with-ipyopenlayers-2b8bc93bb6c4"/>

<updated>2024-09-06T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Interactive-Mapping-with-ipyopenlayers.png" alt="Image for Interactive Mapping with ipyopenlayers" style="max-width:100%; height:auto;" /><p> In this article, we present the main features of ipyopenlayers and demonstrate how this library can transform your geospatial data into dynamic, interactive visualizations.</p>]]></content>

<author>

<name>Nour Cheour</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Announcing the 2023 cohort of Jupyter distinguished contributors]]></title>

<id>https://blog.jupyter.org/announcing-the-2023-jupyter-distinguished-contributor-award-recipients-1b2cc4ba203f</id>

<link href="https://blog.jupyter.org/announcing-the-2023-jupyter-distinguished-contributor-award-recipients-1b2cc4ba203f"/>

<updated>2024-09-04T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Announcing-the-2023-Jupyter-Distinguished-Contributors.png" alt="Image for Announcing the 2023 cohort of Jupyter distinguished contributors" style="max-width:100%; height:auto;" /><p>We are delighted to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2023 cohort.</p>]]></content>

<author>

<name>Johan Mabille, on behalf of the Jupyter Distinguished Contributors</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Ipydatagrid is now part of Project Jupyter]]></title>

<id>https://blog.jupyter.org/ipydatagrid-is-now-part-of-project-jupyter-3b3dfb877664</id>

<link href="https://blog.jupyter.org/ipydatagrid-is-now-part-of-project-jupyter-3b3dfb877664"/>

<updated>2024-08-22T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Ipydatagrid-is-now-part-of-ProjectJupyter.png" alt="Image for Ipydatagrid is now part of Project Jupyter" style="max-width:100%; height:auto;" /><p>Today, we are proud to announce that the ipydatagrid open source project has been incorporated into Project Jupyter as part of the Jupyter Widgets subproject.</p>]]></content>

<author>

<name>Sylvain Corlay, on behalf of the Jupyter Widgets Council</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Introducing Mamba 2.0]]></title>

<id>https://medium.com/@QuantStack/introducing-mamba-2-0-0e8d5c6d1d0c</id>

<link href="https://medium.com/@QuantStack/introducing-mamba-2-0-0e8d5c6d1d0c"/>

<updated>2024-07-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Introducing-Mamba-2-0.png" alt="Image for Introducing Mamba 2.0" style="max-width:100%; height:auto;" /><p>We are excited to present the first release candidate of Mamba 2.0, a significant upgrade to the mamba package manager. This update brings considerable enhancements for both users and developers, following an extensive year-long development effort.</p>]]></content>

<author>

<name>Antoine Prouvost, Joël Lamotte, Johan Mabille, Hind Montassif</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[QuantStack open-source internship program]]></title>

<id>https://medium.com/@QuantStack/quantstack-open-source-internship-program-049755b6d44b</id>

<link href="https://medium.com/@QuantStack/quantstack-open-source-internship-program-049755b6d44b"/>

<updated>2024-07-09T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/QuantStack-open-source-internship-program.png" alt="Image for QuantStack open-source internship program" style="max-width:100%; height:auto;" /><p>Today, we are announcing a new internship program that aims to empower a new cohort of open-source contributors and future maintainers to make an impact within our ecosystem.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterCAD 2.0]]></title>

<id>https://medium.com/@QuantStack/jupytercad-2-0-4b9c4e18d22a</id>

<link href="https://medium.com/@QuantStack/jupytercad-2-0-4b9c4e18d22a"/>

<updated>2024-07-05T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterCAD-2-0.png" alt="Image for JupyterCAD 2.0" style="max-width:100%; height:auto;" /><p>We are thrilled to introduce JupyterCAD 2.0, the newest version of the JupyterLab-based CAD modeler.</p>]]></content>

<author>

<name>Trung Le, Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterGIS]]></title>

<id>https://blog.jupyter.org/jupytergis-d63b7adf9d0c</id>

<link href="https://blog.jupyter.org/jupytergis-d63b7adf9d0c"/>

<updated>2024-06-12T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterGIS.png" alt="Image for JupyterGIS" style="max-width:100%; height:auto;" /><p>We are thrilled to announce that the European Space Agency (ESA) is funding our proposal “Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS.”</p>]]></content>

<author>

<name>Sylvain Corlay, Anne Fouilloux, Monika Weissschnur</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Commit!]]></title>

<id>https://medium.com/@SylvainCorlay/commit-cdf57415b94b</id>

<link href="https://medium.com/@SylvainCorlay/commit-cdf57415b94b"/>

<updated>2024-05-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Commit.png" alt="Image for Commit!" style="max-width:100%; height:auto;" /><p>Open-source projects are not just about the latest exciting updates and features, but also the principles and people that drive these projects to success. In this blog post, I reflect on the dynamics…</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[In memoriam: Fanny Loustau Chartez]]></title>

<id>/blogs/Fanny</id>

<link href="/blogs/Fanny"/>

<updated>2024-05-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/In-memoriam-Fanny-Loustau-Chartez.jpg" alt="Image for In memoriam: Fanny Loustau Chartez" style="max-width:100%; height:auto;" /><p>It is with great sadness that we announce the passing of our colleague and friend, Fanny Loustau Chartez, who served as the Chief Financial Officer of QuantStack since 2021.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Announcing PyData Paris 2024]]></title>

<id>https://medium.com/@PyDataParis/announcing-pydata-paris-2024-700220accc72</id>

<link href="https://medium.com/@PyDataParis/announcing-pydata-paris-2024-700220accc72"/>

<updated>2024-03-11T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Announcing-PyData-Paris-2024.png" alt="Image for Announcing PyData Paris 2024" style="max-width:100%; height:auto;" /><p>We are thrilled to announce the upcoming PyData Paris 2024, the gathering of the open-source data science and AI/ML community in France. PyData Paris will take place at the Cité des Sciences from September 25 to September 26, 2024.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Meet Xeus-R: a future-proof Jupyter kernel for R]]></title>

<id>https://blog.jupyter.org/meet-xeus-r-a-future-proof-jupyter-kernel-for-r-1adc5fdd09ab</id>

<link href="https://blog.jupyter.org/meet-xeus-r-a-future-proof-jupyter-kernel-for-r-1adc5fdd09ab"/>

<updated>2024-01-22T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Meet-Xeus-R-a-future-proof-Jupyter-kernel-for-R.png" alt="Image for Meet Xeus-R: a future-proof Jupyter kernel for R" style="max-width:100%; height:auto;" /><p>Today, we, a collaborative team led by Romain François and supported by QuantStack, are thrilled to announce the initial release of Xeus-R, a future-proof Jupyter kernel for R.</p>]]></content>

<author>

<name>Romain François</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[QuantStack: 2023 in review]]></title>

<id>https://medium.com/@QuantStack/quantstack-2023-in-review-94fea0a35520</id>

<link href="https://medium.com/@QuantStack/quantstack-2023-in-review-94fea0a35520"/>

<updated>2024-01-03T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/QuantStack-2023-in-review.png" alt="Image for QuantStack: 2023 in review" style="max-width:100%; height:auto;" /><p>Since QuantStack was founded in 2016, we have remained committed to releasing our work under permissive open-source licenses. Here are some highlights of the 2023 achievements. Buckle up!</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Recent keyboard navigation improvements in Jupyter]]></title>

<id>https://blog.jupyter.org/recent-keyboard-navigation-improvements-in-jupyter-4df32f97628d</id>

<link href="https://blog.jupyter.org/recent-keyboard-navigation-improvements-in-jupyter-4df32f97628d"/>

<updated>2023-12-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Recent-keyboard-navigation-improvements-in-Jupyter.png" alt="Image for Recent keyboard navigation improvements in Jupyter" style="max-width:100%; height:auto;" /><p>Upcoming versions of JupyterLab (4.1.0) and Notebook (7.1.0) will include major keyboard accessibility fixes.</p>]]></content>

<author>

<name>Nicolas Brichet, Gabriel Fouasnon</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[And Voici!]]></title>

<id>https://blog.jupyter.org/and-voici-e02367197ba2</id>

<link href="https://blog.jupyter.org/and-voici-e02367197ba2"/>

<updated>2023-12-06T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/And-Voici.png" alt="Image for And Voici!" style="max-width:100%; height:auto;" /><p>Voici (meaning “here is” in French) is a novel project reshaping Jupyter-based interactive dashboards by combining Voilà and JupyterLite features. It facilitates the creation of dynamic, in-browser environments for data visualization and exploration.</p>]]></content>

<author>

<name>Trung Duc Le, Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Plug your application into the Jupyter world]]></title>

<id>https://blog.jupyter.org/plug-your-application-into-the-jupyter-world-805e48918801</id>

<link href="https://blog.jupyter.org/plug-your-application-into-the-jupyter-world-805e48918801"/>

<updated>2023-10-23T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Plug-your-application-into-the-Jupyter-world.png" alt="Image for Plug your application into the Jupyter world" style="max-width:100%; height:auto;" /><p>Kernels are a simple but powerful abstraction in the Jupyter architecture. They encapsulate language interpreters and make them accessible through a standardized interface. This is the key to…</p>]]></content>

<author>

<name>David Brochart</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Voilà 0.5 - Homecoming]]></title>

<id>https://blog.jupyter.org/voil%C3%A0-0-5-0-homecoming-66f2465aa86f</id>

<link href="https://blog.jupyter.org/voil%C3%A0-0-5-0-homecoming-66f2465aa86f"/>

<updated>2023-09-25T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Voila-0-5-Homecoming.png" alt="Image for Voilà 0.5 - Homecoming" style="max-width:100%; height:auto;" /><p>Following the launch of Jupyter Notebook 7, it is now Voilà’s turn to join the JupyterLab family. In Version 0.5.0, the front-end of Voilà has been rebuilt from scratch using JupyterLab 4.0 components, just like in the case of Notebook 7.</p>]]></content>

<author>

<name>Jeremy Tuloup, Martin Renou, Trung Duc Le</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Announcing Jupyter Notebook 7]]></title>

<id>https://blog.jupyter.org/announcing-jupyter-notebook-7-8d6d66126dcf</id>

<link href="https://blog.jupyter.org/announcing-jupyter-notebook-7-8d6d66126dcf"/>

<updated>2023-07-26T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Announcing-Jupyter-Notebook-7.jpg" alt="Image for Announcing Jupyter Notebook 7" style="max-width:100%; height:auto;" /><p>Jupyter Notebook 7 is the most significant release of the Jupyter Notebook in years. Some highlights of this release include real-time collaboration, interactive debugging, table of contents, theming and dark mode, internationalization, improved accessibility, compact view on mobile devices.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[🎉 JupyterCon 2023 recordings now live on YouTube! 🎉]]></title>

<id>https://blog.jupyter.org/jupytercon-2023-recordings-now-live-on-youtube-17564b75a2a</id>

<link href="https://blog.jupyter.org/jupytercon-2023-recordings-now-live-on-youtube-17564b75a2a"/>

<updated>2023-07-22T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterCon-2023-recordings-now-live-on-YouTube.png" alt="Image for 🎉 JupyterCon 2023 recordings now live on YouTube! 🎉" style="max-width:100%; height:auto;" /><p>Get ready to relive the magic of JupyterCon 2023, because the long-awaited moment is finally here! The JupyterCon YouTube channel has just dropped a treasure trove of content — all the talk and keynote recordings from the most epic conference of the year.</p>]]></content>

<author>

<name>Gayle Ollington, Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[A theme editor for JupyterLab]]></title>

<id>https://blog.jupyter.org/a-theme-editor-for-jupyterlab-8f08ab62894d</id>

<link href="https://blog.jupyter.org/a-theme-editor-for-jupyterlab-8f08ab62894d"/>

<updated>2023-06-19T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/A-theme-editor-for-JupyterLab.png" alt="Image for A theme editor for JupyterLab" style="max-width:100%; height:auto;" /><p>To lower the bar for customizing JupyterLab we created a new tool providing a simple interface for tuning the JupyterLab appearance interactively.</p>]]></content>

<author>

<name>Florence Haudin</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Collaborative CAD in JupyterLab]]></title>

<id>https://blog.jupyter.org/collaborative-cad-in-jupyterlab-8eb9e8f81f0</id>

<link href="https://blog.jupyter.org/collaborative-cad-in-jupyterlab-8eb9e8f81f0"/>

<updated>2023-06-02T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Collaborative-CAD-in-JupyterLab.png" alt="Image for Collaborative CAD in JupyterLab" style="max-width:100%; height:auto;" /><p>Introducing JupyterCAD, a tool that integrates Computer-Aided Design (CAD) capabilities into JupyterLab.</p>]]></content>

<author>

<name>Duc Trung Le, Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Congratulations, Distinguished Contributors!]]></title>

<id>https://blog.jupyter.org/congratulations-distinguished-contributors-7a7b215b8bd0</id>

<link href="https://blog.jupyter.org/congratulations-distinguished-contributors-7a7b215b8bd0"/>

<updated>2023-06-02T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Congratulations-Distinguished-Contributors.png" alt="Image for Congratulations, Distinguished Contributors!" style="max-width:100%; height:auto;" /><p>We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2022 cohort of contributors.</p>]]></content>

<author>

<name>Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Embed interactive itkwidgets 3D renderings into JupyterLite deployments]]></title>

<id>https://blog.jupyter.org/embed-interactive-itkwidgets-3d-renderings-into-jupyterlite-deployments-10eb9ea30980</id>

<link href="https://blog.jupyter.org/embed-interactive-itkwidgets-3d-renderings-into-jupyterlite-deployments-10eb9ea30980"/>

<updated>2023-03-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Embed-interactive-itkwidgets-3D-renderings-into-JupyterLite-deployments.png" alt="Image for Embed interactive itkwidgets 3D renderings into JupyterLite deployments" style="max-width:100%; height:auto;" /><p>A tutorial that demonstrates a zero-server, interactive 3D rendering notebook and walks through the quick and easy configuration that can be customized to your needs.</p>]]></content>

<author>

<name>Matt McCormick, Brianna Major, Jeremy Tuloup, Wei Ouyang, Stephen Aylward</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Improving the accessibility of Jupyter]]></title>

<id>https://blog.jupyter.org/improving-the-accessibility-of-jupyter-6c695db518d3</id>

<link href="https://blog.jupyter.org/improving-the-accessibility-of-jupyter-6c695db518d3"/>

<updated>2023-02-24T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Improving-the-accessibility-of-Jupyter.png" alt="Image for Improving the accessibility of Jupyter" style="max-width:100%; height:auto;" /><p>This article presents some of the recent accessibility improvements in the Jupyter Notebook codebase.</p>]]></content>

<author>

<name>Nicolas Brichet, Johan Mabille, Jeremy Tuloup, Frédéric Collonval, Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[A Jupyter kernel for GNU Octave]]></title>

<id>https://blog.jupyter.org/a-jupyter-kernel-for-gnu-octave-b6d29e56341f</id>

<link href="https://blog.jupyter.org/a-jupyter-kernel-for-gnu-octave-b6d29e56341f"/>

<updated>2023-01-11T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/A-Jupyter-kernel-for-GNU-Octave.png" alt="Image for A Jupyter kernel for GNU Octave" style="max-width:100%; height:auto;" /><p>We are happy to announce the xeus-octave project, a Jupyter kernel for GNU Octave. Xeus-octave was created by Giulio Girardi, recently joined by Antoine Prouvost - and has been incorporated into the Project Jupyter governance.</p>]]></content>

<author>

<name>Giulio Girardi, Antoine Prouvost</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[QuantStack: 2022 in review]]></title>

<id>https://medium.com/@QuantStack/quantstack-2022-in-review-7d4704b1db42</id>

<link href="https://medium.com/@QuantStack/quantstack-2022-in-review-7d4704b1db42"/>

<updated>2022-12-26T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/QuantStack-2022-in-review.png" alt="Image for QuantStack: 2022 in review" style="max-width:100%; height:auto;" /><p>2022 was an amazing year of innovation for the open-source developers at QuantStack. Developments range from major improvements to the Jupyter project to the packaging ecosystem and high-performance computing.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Managing conflicts with Mamba]]></title>

<id>https://medium.com/@AntoineProuvost/managing-conflicts-with-mamba-6a5fa10ed6a</id>

<link href="https://medium.com/@AntoineProuvost/managing-conflicts-with-mamba-6a5fa10ed6a"/>

<updated>2022-11-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Managing-conflicts-with-Mamba.png" alt="Image for Managing conflicts with Mamba" style="max-width:100%; height:auto;" /><p>A key aspect of package management is finding a set of compatible versions of the required packages. Indeed, even in the case when few packages are explicitly required, second-order dependencies may…</p>]]></content>

<author>

<name>Antoine Prouvost</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterCon is back in 2023]]></title>

<id>https://blog.jupyter.org/jupytercon-is-back-in-2023-90e5c25eeec9</id>

<link href="https://blog.jupyter.org/jupytercon-is-back-in-2023-90e5c25eeec9"/>

<updated>2022-10-17T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterCon-is-back-in-2023.png" alt="Image for JupyterCon is back in 2023" style="max-width:100%; height:auto;" /><p>JupyterCon 2023 will be held May 10–12 (Thursday to Friday) in the city of light, Paris, France at the largest science museum in Europe, the Cité des Sciences et de l’Industrie.</p>]]></content>

<author>

<name>Gayle Ollington</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Accelerating JupyterLab]]></title>

<id>https://blog.jupyter.org/accelerating-jupyterlab-68942bb8d602</id>

<link href="https://blog.jupyter.org/accelerating-jupyterlab-68942bb8d602"/>

<updated>2022-09-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Accelerating-JupyterLab.png" alt="Image for Accelerating JupyterLab" style="max-width:100%; height:auto;" /><p>The next major release of JupyterLab will be significantly faster than previous versions. This was achieved both through systematic tracking of performance bugs and through significant upgrades to the Jupyter communication protocol and rendering mechanism for documents.</p>]]></content>

<author>

<name>Frédéric Collonval, Johan Mabille, David Brochart, Afshin Darian</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Upgrading nbgrader]]></title>

<id>https://blog.jupyter.org/upgrading-nbgrader-99c56ae56c47</id>

<link href="https://blog.jupyter.org/upgrading-nbgrader-99c56ae56c47"/>

<updated>2022-09-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Upgrading-nbgrader.png" alt="Image for Upgrading nbgrader" style="max-width:100%; height:auto;" /><p>Project Jupyter provides a broad collection of open-source tools for interactive computing that has become ubiquitous in data science and scientific computing, and is very popular in educational…</p>]]></content>

<author>

<name>Nicolas Brichet</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Visual programming in JupyterLab with Blockly]]></title>

<id>https://blog.jupyter.org/visual-programming-in-jupyterlab-with-blockly-7731ec3e113c</id>

<link href="https://blog.jupyter.org/visual-programming-in-jupyterlab-with-blockly-7731ec3e113c"/>

<updated>2022-07-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Visual-programming-in-JupyterLab-with-Blockly.png" alt="Image for Visual programming in JupyterLab with Blockly" style="max-width:100%; height:auto;" /><p>When moving from block-based programming to a more classical language like Python, students often have to switch to a completely new environment. In order to provide a smooth ramp of complexity for learners, we designed a JupyterLab extension for Blockly so that Jupyter can be used from the very first steps of their learning journey.</p>]]></content>

<author>

<name>Denisa Checiu, Carlos Herrero</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Mamba meets JupyterLite]]></title>

<id>https://blog.jupyter.org/mamba-meets-jupyterlite-88ef49ac4dc8</id>

<link href="https://blog.jupyter.org/mamba-meets-jupyterlite-88ef49ac4dc8"/>

<updated>2022-07-14T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Mamba-meets-JupyterLite.png" alt="Image for Mamba meets JupyterLite" style="max-width:100%; height:auto;" /><p>JupyterLite is a Jupyter distribution that runs entirely in the web browser without any server components. To achieve this, all language kernels must also run in the browser. A significant benefit of…</p>]]></content>

<author>

<name>Thorsten Beier, Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Inspector JupyterLab]]></title>

<id>https://blog.jupyter.org/inspector-jupyterlab-404cce3e1df6</id>

<link href="https://blog.jupyter.org/inspector-jupyterlab-404cce3e1df6"/>

<updated>2022-04-11T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Inspector-JupyterLab.png" alt="Image for Inspector JupyterLab" style="max-width:100%; height:auto;" /><p>JupyterLab provides multiple ways to improve your coding workflow: code highlighting, code completion, theming, debugger with rich variable rendering and more.</p>]]></content>

<author>

<name>Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[HTML5 <canvas> based renderer for Matplotlib in Pyodide]]></title>

<id>https://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/</id>

<link href="https://blog.pyodide.org/posts/canvas-renderer-matplotlib-in-pyodide/"/>

<updated>2022-04-01T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/HTML5-<canvas>-based-renderer-for-Matplotlib-in-Pyodide.png" alt="Image for HTML5 <canvas> based renderer for Matplotlib in Pyodide" style="max-width:100%; height:auto;" /><p>In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the &lt;canvas&gt; element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.</p>]]></content>

<author>

<name>Madhur Tandon</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[The future of mamba]]></title>

<id>https://wolfv.medium.com/the-future-of-mamba-fdf6d628b3df</id>

<link href="https://wolfv.medium.com/the-future-of-mamba-fdf6d628b3df"/>

<updated>2022-03-01T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/The-future-of-mamba.png" alt="Image for The future of mamba" style="max-width:100%; height:auto;" /><p>The recent adoption of libmamba by the conda project was a great validation of our work. Several other game-changing innovations are in the works by the mamba team. Stay tuned!</p>]]></content>

<author>

<name>Wolf Vollprecht</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Congratulations, Distinguished Contributors!]]></title>

<id>https://blog.jupyter.org/congratulations-distinguished-contributors-bc349fa60d68</id>

<link href="https://blog.jupyter.org/congratulations-distinguished-contributors-bc349fa60d68"/>

<updated>2022-03-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Congratulations-Distinguished-Contributors.png" alt="Image for Congratulations, Distinguished Contributors!" style="max-width:100%; height:auto;" /><p>We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2021 cohort of contributors.</p>]]></content>

<author>

<name>Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Jupyter Everywhere]]></title>

<id>https://blog.jupyter.org/jupyter-everywhere-f8151c2cc6e8</id>

<link href="https://blog.jupyter.org/jupyter-everywhere-f8151c2cc6e8"/>

<updated>2022-03-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Jupyter-Everywhere.jpg" alt="Image for Jupyter Everywhere" style="max-width:100%; height:auto;" /><p>Easily embed a console, a notebook, or a fully-fledged IDE on any web page.</p>]]></content>

<author>

<name>Martin Renou, Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[ROS2 support for Zethus]]></title>

<id>https://medium.com/@kmathewos92/ros2-support-for-zethus-e6ecfcdb1c4c</id>

<link href="https://medium.com/@kmathewos92/ros2-support-for-zethus-e6ecfcdb1c4c"/>

<updated>2022-02-17T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/ROS2-support-for-Zethus.png" alt="Image for ROS2 support for Zethus" style="max-width:100%; height:auto;" /><p>Zethus is an Open Source library for Robot visualization in the browser. Initially developed by Rapyuta Robotics, it provides a web-based…</p>]]></content>

<author>

<name>Kedus Mathewos</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[QuantStack: 2021 in review]]></title>

<id>https://medium.com/@QuantStack/quantstack-2021-in-review-fe5eac2e0f6d</id>

<link href="https://medium.com/@QuantStack/quantstack-2021-in-review-fe5eac2e0f6d"/>

<updated>2021-12-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/QuantStack-2021-in-review.png" alt="Image for QuantStack: 2021 in review" style="max-width:100%; height:auto;" /><p>This was a crazy year of innovation for the open-source team at QuantStack. From JupyterLab to the packaging ecosystem and high-performance computing, we made some major strides in all areas, while almost doubling the size of the team.</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Jupyter Games]]></title>

<id>https://blog.jupyter.org/jupyter-games-cda20dc15a21</id>

<link href="https://blog.jupyter.org/jupyter-games-cda20dc15a21"/>

<updated>2021-12-14T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Jupyter-Games.png" alt="Image for Jupyter Games" style="max-width:100%; height:auto;" /><p>Making their own tiny video games can be a great way for kids to learn programming in a playful matter. While Jupyter is widely used as a scientific and educational tool, Jupyter is seldom used as a…</p>]]></content>

<author>

<name>Thorsten Beier</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Need for speed: Voilà edition]]></title>

<id>https://blog.jupyter.org/need-for-speed-voil%C3%A0-edition-a9e1300ab3b2</id>

<link href="https://blog.jupyter.org/need-for-speed-voil%C3%A0-edition-a9e1300ab3b2"/>

<updated>2021-12-10T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Need-for-speed-Voila-edition.png" alt="Image for Need for speed: Voilà edition" style="max-width:100%; height:auto;" /><p>Voilà turns Jupyter notebooks into standalone applications without requiring any modification to the content. You want to share your content with non-technical readers? Just call Voilà with the…</p>]]></content>

<author>

<name>Duc Trung Le</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Towards a more secure conda ecosystem]]></title>

<id>https://adelsalle.medium.com/towards-a-more-secure-conda-ecosystem-5ce65a27d7d5</id>

<link href="https://adelsalle.medium.com/towards-a-more-secure-conda-ecosystem-5ce65a27d7d5"/>

<updated>2021-11-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Towards-a-more-secure-conda-ecosystem.png" alt="Image for Towards a more secure conda ecosystem" style="max-width:100%; height:auto;" /><p>Supply chain security is crucial to the overall security of package managers, which are a major attack vector of information systems. Today, we are pleased to announce that mamba has gained the…</p>]]></content>

<author>

<name>Adrien Delsalle</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Toward a faster and thinner xsimd]]></title>

<id>https://johan-mabille.medium.com/toward-a-faster-and-thinner-xsimd-9e4eef41bc17</id>

<link href="https://johan-mabille.medium.com/toward-a-faster-and-thinner-xsimd-9e4eef41bc17"/>

<updated>2021-10-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Toward-a-faster-and-thinner-xsimd.png" alt="Image for Toward a faster and thinner xsimd" style="max-width:100%; height:auto;" /><p>xsimd, the SIMD library by QuantStack, got more and more adoption in recent years. While it helped improve the library, adoption also brought new requirements. Among them was the abitility to...</p>]]></content>

<author>

<name>Serge Guelton, Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Xeus-Lite]]></title>

<id>https://blog.jupyter.org/xeus-lite-379e96bb199d</id>

<link href="https://blog.jupyter.org/xeus-lite-379e96bb199d"/>

<updated>2021-10-25T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Xeus-Lite.png" alt="Image for Xeus-Lite" style="max-width:100%; height:auto;" /><p>JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels. Xeus is C++ library for writing Jupyter kernels. In this blogpost we show how…</p>]]></content>

<author>

<name>Thorsten Beier</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[The mamba project and the CZI grant]]></title>

<id>https://wolfv.medium.com/the-mamba-project-and-the-czi-grant-ec88fb27c25</id>

<link href="https://wolfv.medium.com/the-mamba-project-and-the-czi-grant-ec88fb27c25"/>

<updated>2021-10-19T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/The-mamba-project-and-the-CZI-grant.png" alt="Image for The mamba project and the CZI grant" style="max-width:100%; height:auto;" /><p>For those who don't know yet: mamba is a fast, cross-platform & non-language-specific package manager widely used in the scientific space. Mamba works with conda -packages and works great in tandem…</p>]]></content>

<author>

<name>Wolf Vollprecht</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Looking at notebooks from a new perspective]]></title>

<id>https://blog.jupyter.org/looking-at-notebooks-from-a-new-perspective-bfd06797f188</id>

<link href="https://blog.jupyter.org/looking-at-notebooks-from-a-new-perspective-bfd06797f188"/>

<updated>2021-10-05T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Looking-at-notebooks-from-a-new-perspective.png" alt="Image for Looking at notebooks from a new perspective" style="max-width:100%; height:auto;" /><p>Jupyter notebooks are a great tool for practitioners of scientific computing from the research phase of their work to the communication of their results. The interleaving of code and rich text makes…</p>]]></content>

<author>

<name>Mariana Meireles</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Xeus 2.0]]></title>

<id>https://blog.jupyter.org/xeus-2-0-cb460d4daed4</id>

<link href="https://blog.jupyter.org/xeus-2-0-cb460d4daed4"/>

<updated>2021-09-28T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Xeus-2-0.png" alt="Image for Xeus 2.0" style="max-width:100%; height:auto;" /><p>We have just released Xeus 2.0. This is a major release of the library. While it includes backward-incompatible changes, they are very limited and upgrading your kernels should be relatively easy…</p>]]></content>

<author>

<name>Johan Mabille, Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[From Jupyter to the Moon]]></title>

<id>https://blog.jupyter.org/from-jupyter-to-the-moon-2e432df402c8</id>

<link href="https://blog.jupyter.org/from-jupyter-to-the-moon-2e432df402c8"/>

<updated>2021-09-24T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/From-Jupyter-to-the-Moon.png" alt="Image for From Jupyter to the Moon" style="max-width:100%; height:auto;" /><p>A key principle in Jupyter’s design is language agnosticism, and one of the main extension points of the Jupyter ecosystem is the kernel, the part of the architecture responsible for executing the…</p>]]></content>

<author>

<name>Thorsten Beier</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Jupyter ❤️ WebAssembly ❤️ Python]]></title>

<id>https://blog.jupyter.org/jupyterlite-jupyter-%EF%B8%8F-webassembly-%EF%B8%8F-python-f6e2e41ab3fa</id>

<link href="https://blog.jupyter.org/jupyterlite-jupyter-%EF%B8%8F-webassembly-%EF%B8%8F-python-f6e2e41ab3fa"/>

<updated>2021-07-13T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Jupyter-WebAssembly-Python.png" alt="Image for Jupyter ❤️ WebAssembly ❤️ Python" style="max-width:100%; height:auto;" /><p>JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels. JupyterLite is a reboot of several attempts at making a full static Jupyter…</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Mamba 0.15.0]]></title>

<id>https://wolfv.medium.com/mamba-0-15-0-475d1dca0418</id>

<link href="https://wolfv.medium.com/mamba-0-15-0-475d1dca0418"/>

<updated>2021-07-09T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Mamba-0-15-0.png" alt="Image for Mamba 0.15.0" style="max-width:100%; height:auto;" /><p>We’ve just dropped one of the biggest releases of mamba (the fast conda package manager)— along with some nice improvements in libsolv! This is a quick update on some new and improved features in…</p>]]></content>

<author>

<name>Wolf Vollprecht, Adrien Delsalle</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Le calcul haute performance au service de l'innovation (in French)]]></title>

<id>https://www.polytechnique.edu/fondation/content/le-calcul-haute-performance-au-service-de-l%E2%80%99innovation</id>

<link href="https://www.polytechnique.edu/fondation/content/le-calcul-haute-performance-au-service-de-l%E2%80%99innovation"/>

<updated>2021-06-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Le-calcul-haute-performance-au-service-de-l'innovation-in-French.png" alt="Image for Le calcul haute performance au service de l'innovation (in French)" style="max-width:100%; height:auto;" /><p>Led by Professor Marc Massot (Center for Applied Mathematics), the HPC@Maths initiative aims at developing a strong expertise in high-performance computing at École Polytechnique. This project is supported by the X Foundation, and by QuantStack.</p>]]></content>

<author>

<name>Fondation École Polytechnique</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[How we made Jupyter notebooks collaborative with Yjs]]></title>

<id>https://blog.jupyter.org/how-we-made-jupyter-notebooks-collaborative-with-yjs-b8dff6a9d8af</id>

<link href="https://blog.jupyter.org/how-we-made-jupyter-notebooks-collaborative-with-yjs-b8dff6a9d8af"/>

<updated>2021-06-12T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/How-we-made-Jupyter-notebooks-collaborative-with-Yjs.png" alt="Image for How we made Jupyter notebooks collaborative with Yjs" style="max-width:100%; height:auto;" /><p>Collaborative editing — à la Google Docs — is a feature that you still rarely find in applications. One of the few good things that came out of this pandemic is that more people seem to care about…</p>]]></content>

<author>

<name>Kevin Jahns</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[RetroLab - A JupyterLab distribution with a retro look and feel]]></title>

<id>https://blog.jupyter.org/retrolab-a-jupyterlab-distribution-with-a-retro-look-and-feel-8096b8b223d0</id>

<link href="https://blog.jupyter.org/retrolab-a-jupyterlab-distribution-with-a-retro-look-and-feel-8096b8b223d0"/>

<updated>2021-06-27T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/RetroLab-A-JupyterLab-distribution-with-a-retro-look-and-feel.png" alt="Image for RetroLab - A JupyterLab distribution with a retro look and feel" style="max-width:100%; height:auto;" /><p>RetroLab is an alternative JupyterLab distribution, built from the ground-up, providing a notebook interface with a retro look and feel. Currently at version 3.0, JupyterLab provides an advanced…</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Rhumba, the fast R distribution is available on Windows]]></title>

<id>https://adelsalle.medium.com/rhumba-the-fast-r-distribution-is-available-on-windows-fa975b2aefa2</id>

<link href="https://adelsalle.medium.com/rhumba-the-fast-r-distribution-is-available-on-windows-fa975b2aefa2"/>

<updated>2021-05-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Rhumba-the-fast-R-distribution-is-available-on-Windows.png" alt="Image for Rhumba, the fast R distribution is available on Windows" style="max-width:100%; height:auto;" /><p>A few months ago, Mariana Meireles created Rhumba, a fast R package manager and distribution leveraging the conda-forge initiative and the mamba library. Today, we’re happy to announce a new major…</p>]]></content>

<author>

<name>Adrien Delsalle</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Enabling the JupyterLab Debugger with ipykernel]]></title>

<id>https://blog.jupyter.org/enabling-the-jupyterlab-debugger-with-ipykernel-8d7248f522b0</id>

<link href="https://blog.jupyter.org/enabling-the-jupyterlab-debugger-with-ipykernel-8d7248f522b0"/>

<updated>2021-05-13T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Enabling-the-JupyterLab-Debugger-with-ipykernel.png" alt="Image for Enabling the JupyterLab Debugger with ipykernel" style="max-width:100%; height:auto;" /><p>JupyterLab 3.0 includes a visual debugger that allows to interactively set breakpoints, step into functions, and inspect variables with any Jupyter kernel that implements the Jupyter debugger…</p>]]></content>

<author>

<name>Sylvain Corlay, Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Jupyter ❤️ Cytoscape]]></title>

<id>https://medium.com/@mari_meir/jupyter-%EF%B8%8F-%EF%B8%8F-cytoscape-e2e77be8e0f9</id>

<link href="https://medium.com/@mari_meir/jupyter-%EF%B8%8F-%EF%B8%8F-cytoscape-e2e77be8e0f9"/>

<updated>2021-05-11T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Jupyter-Cytoscape.png" alt="Image for Jupyter ❤️ Cytoscape" style="max-width:100%; height:auto;" /><p>Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. While the project was started in the life sciences community, it…</p>]]></content>

<author>

<name>Mariana Meireles</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[zarray: a dynamic expression system based on xtensor]]></title>

<id>https://johan-mabille.medium.com/zarray-a-dynamic-expression-system-based-on-xtensor-ded69f37ff5e</id>

<link href="https://johan-mabille.medium.com/zarray-a-dynamic-expression-system-based-on-xtensor-ded69f37ff5e"/>

<updated>2021-04-29T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/zarray-a-dynamic-expression-system-based-on-xtensor.png" alt="Image for zarray: a dynamic expression system based on xtensor" style="max-width:100%; height:auto;" /><p>In this article we demonstrate how we pushed xtensor one step further, implementing a dynamic expression system on top of it. xtensor is a comprehensive C++framework for multi-dimensional array…</p>]]></content>

<author>

<name>Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[nbterm: Jupyter Notebooks in the terminal]]></title>

<id>https://blog.jupyter.org/nbterm-jupyter-notebooks-in-the-terminal-6a2b55d08b70</id>

<link href="https://blog.jupyter.org/nbterm-jupyter-notebooks-in-the-terminal-6a2b55d08b70"/>

<updated>2021-04-26T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/nbterm-Jupyter-Notebooks-in-the-terminal.png" alt="Image for nbterm: Jupyter Notebooks in the terminal" style="max-width:100%; height:auto;" /><p>Jupyter notebooks are mostly known for their web-based user interface, such as JupyterLab or the Classic Notebook. They offer a great user experience, allow for rich output rendering, provide…</p>]]></content>

<author>

<name>David Brochart</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Abracadabra! Bringing the Magics to Xeus-Python]]></title>

<id>https://blog.jupyter.org/abracadabra-bringing-the-magics-to-xeus-python-9d17bcfacb4</id>

<link href="https://blog.jupyter.org/abracadabra-bringing-the-magics-to-xeus-python-9d17bcfacb4"/>

<updated>2021-02-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Abracadabra-Bringing-the-Magics-to-Xeus-Python.png" alt="Image for Abracadabra! Bringing the Magics to Xeus-Python" style="max-width:100%; height:auto;" /><p>Last year, we set ourselves to implement a visual debugger for JupyterLab. This endeavor required major developments in the JupyterLab…</p>]]></content>

<author>

<name>Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Cross-platform Conda Packages for ROS]]></title>

<id>https://medium.com/robostack/cross-platform-conda-packages-for-ros-fa1974fd1de3</id>

<link href="https://medium.com/robostack/cross-platform-conda-packages-for-ros-fa1974fd1de3"/>

<updated>2021-02-16T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Cross-platform-Conda-Packages-for-ROS.jpg" alt="Image for Cross-platform Conda Packages for ROS" style="max-width:100%; height:auto;" /><p>2020 has been a busy year for the RoboStack project. We collaboratively published ros-noetic on four platforms (Windows, macOS, Linux x64 and ARM64) and revamped how ROS packages can be released on…</p>]]></content>

<author>

<name>Wolf Vollprecht, Tobias Fischer</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Genomic Data representation in Jupyter]]></title>

<id>https://blog.jupyter.org/genomic-data-representation-in-jupyter-c57a5bb518d6</id>

<link href="https://blog.jupyter.org/genomic-data-representation-in-jupyter-c57a5bb518d6"/>

<updated>2021-02-08T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Genomic-Data-representation-in-Jupyter.png" alt="Image for Genomic Data representation in Jupyter" style="max-width:100%; height:auto;" /><p>If there is one thing that recent events tell us, it is that genomics is a large source of data, and that its manipulation and understanding allow for the quick development of new drugs and…</p>]]></content>

<author>

<name>Jean-David Harrouet</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[An SQL Solution for Jupyter]]></title>

<id>https://blog.jupyter.org/an-sql-solution-for-jupyter-ef4a00a0d925?postPublishedType=initial</id>

<link href="https://blog.jupyter.org/an-sql-solution-for-jupyter-ef4a00a0d925?postPublishedType=initial"/>

<updated>2021-02-03T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/An-SQL-Solution-for-Jupyter.png" alt="Image for An SQL Solution for Jupyter" style="max-width:100%; height:auto;" /><p>A few months ago we released xeus-sqlite, a Jupyter kernel that allows users to make SQLite queries directly from the notebook. With the needs of the Jupyter data science community in mind we decided…</p>]]></content>

<author>

<name>Mariana Meireles</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[A Curiously Recurring Widget Library]]></title>

<id>https://blog.jupyter.org/a-curiously-recurring-widget-library-261a65bd56fe</id>

<link href="https://blog.jupyter.org/a-curiously-recurring-widget-library-261a65bd56fe"/>

<updated>2021-01-27T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/A-Curiously-Recurring-Widget-Library.png" alt="Image for A Curiously Recurring Widget Library" style="max-width:100%; height:auto;" /><p>Diving into the implementation of xwidgets…</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Robotic Process Automation with JupyterLab]]></title>

<id>https://blog.jupyter.org/robotic-process-automation-with-jupyterlab-713b5630e457</id>

<link href="https://blog.jupyter.org/robotic-process-automation-with-jupyterlab-713b5630e457"/>

<updated>2021-01-18T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Robotic-Process-Automation-with-JupyterLab.png" alt="Image for Robotic Process Automation with JupyterLab" style="max-width:100%; height:auto;" /><p>Robotic Process Automation (RPA) differs from classical automation tools in that the actions to automate can be developed by observing a user perform a task in a graphical user interface, across…</p>]]></content>

<author>

<name>Martin Renou, Johan Mabille</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Dashboarding with JupyterLab 3.0]]></title>

<id>https://blog.jupyter.org/dashboarding-with-jupyterlab-3-789fcb1a5857</id>

<link href="https://blog.jupyter.org/dashboarding-with-jupyterlab-3-789fcb1a5857"/>

<updated>2021-01-08T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Dashboarding-with-JupyterLab-3-0.png" alt="Image for Dashboarding with JupyterLab 3.0" style="max-width:100%; height:auto;" /><p>Project Jupyter offers a complete suite of open-source tools for the scientific computing community, reaching from the exploratory phase of a project to the presentation of the results. In this last…</p>]]></content>

<author>

<name>Carlos Herrero, Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[JupyterLab 3.0 is Released!]]></title>

<id>https://blog.jupyter.org/jupyterlab-3-0-is-out-4f58385e25bb</id>

<link href="https://blog.jupyter.org/jupyterlab-3-0-is-out-4f58385e25bb"/>

<updated>2021-01-05T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterLab-3-0-is-Released.png" alt="Image for JupyterLab 3.0 is Released!" style="max-width:100%; height:auto;" /><p>The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension distribution system.</p>]]></content>

<author>

<name>Jeremy Tuloup</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Interactive C++ for Data Science]]></title>

<id>https://blog.llvm.org/posts/2020-12-21-interactive-cpp-for-data-science/</id>

<link href="https://blog.llvm.org/posts/2020-12-21-interactive-cpp-for-data-science/"/>

<updated>2020-12-23T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Interactive-C++-for-Data-Science.png" alt="Image for Interactive C++ for Data Science" style="max-width:100%; height:auto;" /><p>This post will discuss some applications of Cling developed to support data science researchers. In particular, interactively probing data and interfaces makes complex libraries and complex data…</p>]]></content>

<author>

<name>Vassil Vassilev, David Lange, Simeon Ehrig, Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Xtensor ❤️ Zarr]]></title>

<id>https://david-brochart.medium.com/xtensor-%EF%B8%8F-zarr-4f5cf25c65e5</id>

<link href="https://david-brochart.medium.com/xtensor-%EF%B8%8F-zarr-4f5cf25c65e5"/>

<updated>2020-12-15T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Xtensor-Zarr.png" alt="Image for Xtensor ❤️ Zarr" style="max-width:100%; height:auto;" /><p>A C++ implementation of the Zarr specification…</p>]]></content>

<author>

<name>David Brochart</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[A C++ API for Vega-Lite]]></title>

<id>https://blog.jupyter.org/a-c-backend-for-vega-lite-bd2524b247c2</id>

<link href="https://blog.jupyter.org/a-c-backend-for-vega-lite-bd2524b247c2"/>

<updated>2020-12-02T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/A-C++-API-for-Vega-Lite.png" alt="Image for A C++ API for Vega-Lite" style="max-width:100%; height:auto;" /><p>In this post, we present the first public release of XVega, a C++ library for producing Vega-Lite charts. Data science workflows differ from traditional software development in that engineers make…</p>]]></content>

<author>

<name>Madhur Tandon</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Ipygany, Jupyter into the Third Dimension]]></title>

<id>https://blog.jupyter.org/ipygany-jupyter-into-the-third-dimension-29a97597fc33</id>

<link href="https://blog.jupyter.org/ipygany-jupyter-into-the-third-dimension-29a97597fc33"/>

<updated>2020-10-14T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Ipygany-Jupyter-into-the-Third-Dimension.png" alt="Image for Ipygany, Jupyter into the Third Dimension" style="max-width:100%; height:auto;" /><p>From Paraview to Mayavi, there are multiple solutions for data analysis on 3D meshes on the desktop. Most of these tools provide high-level APIs that can be driven with a scripting language like…</p>]]></content>

<author>

<name>Martin Renou</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Rhumba, a Faster R Distribution]]></title>

<id>https://medium.com/@mari_meir/rhumba-a-faster-r-distribution-d619fb93043a</id>

<link href="https://medium.com/@mari_meir/rhumba-a-faster-r-distribution-d619fb93043a"/>

<updated>2020-10-13T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Rhumba-a-Faster-R-Distribution.png" alt="Image for Rhumba, a Faster R Distribution" style="max-width:100%; height:auto;" /><p>CRAN is the official package manager for the R ecosystem. Unfortunately, simple operations such as creating new environments or installing packages with it can be very time-consuming due to the fact…</p>]]></content>

<author>

<name>Mariana Meireles</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[The Templating System of Nbconvert 6]]></title>

<id>https://blog.jupyter.org/the-templating-system-of-nbconvert-6-47ea781eacd2</id>

<link href="https://blog.jupyter.org/the-templating-system-of-nbconvert-6-47ea781eacd2"/>

<updated>2020-09-26T00:00:00.000Z</updated>

<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/The-Templating-System-of-Nbconvert-6.png" alt="Image for The Templating System of Nbconvert 6" style="max-width:100%; height:auto;" /><p>One of the main changes in nbconvert 6 is the refactor of the template system, which should be easier to extend and build upon. In this article, we dive into the template system, and provide a…</p>]]></content>

<author>

<name>Sylvain Corlay</name>

</author>

</entry>

<entry>

<title type="html"><![CDATA[Memestra!]]></title>

<id>https://medium.com/@mari_meir/memestra-a21c0c1f362</id>