Bringing Modern JavaScript to the Jupyter Notebook
Visualizing Data via Deno, TypeScript, and VegaLite in JupyterLab Deno brings TypeScript, JavaScript, npm, and ES Modules to Jupyter with an easy to install kernel. The Deno Kernel is the first language runtime with a builtin jupyter kernel. There’s no better time to get started with Deno than now. Once deno is installed, run the deno jupyter kernel installation: deno jupyter --unstable --install
Jupyter AI — Jupyter AI documentation
Jupyter AI# Welcome to Jupyter AI, which brings generative AI to Jupyter. Jupyter AI provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. More specifically, Jupyter AI offers: An %%ai magic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPyt
Python in Visual Studio Code – August 2021 Release - Python
We are pleased to announce that the August 2021 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about
JupyterLab Desktop App now available!
We are pleased to announce the release of desktop application for JupyterLab! Standalone and self-containedJupyterLab App is the cross-platform standalone application distribution of JupyterLab. It is a self-contained desktop application which bundles a Python environment with several popular Python libraries ready to use in scientific computing and data science workflows. JupyterLab App running o
Jupyter in Visual Studio Code – June 2021 Release - Python
We are pleased to announce that the June 2021 release of the Jupyter Extension for Visual Studio Code is now available. If you are working with Python, we recommend downloading the Python extension from the Marketplace, or installing it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Vis
Python in Visual Studio Code – April 2021 Release - Python
We are pleased to announce that the April 2021 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about P
Jupyter in Visual Studio Code – April 2021 Release - Python
We are pleased to announce that the April 2021 release of the Jupyter Extension for Visual Studio Code is now available. If working with Python, we recommend installing the Python extension directly from the extension gallery in Visual Studio Code. If you already have the Python or Jupyter extensions installed, you can also get the latest update by restarting Visual Studio Code. You can learn more
Python in Visual Studio Code – March 2021 Release - Python
We are pleased to announce that the March 2021 release of the Python Extension for Visual Studio Code is now available. You can  download the Python extension  from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about
Python in Visual Studio Code – December 2020 Release - Python
We are happy to announce that the December 2020 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about
JupyterLab 3.0 is released!
The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension system. InstallationTo install JupyterLab with pip: pip install jupyterlab==3With mamba: mamba install -c conda-forge jupyterlab=3With conda: conda install -c conda-forge jupyterlab=3(Note that many third-party extensions are still in the process of updating to be compatible with JupyterLa
Introducing the Jupyter Extension for VS Code - Python
We’re excited to announce that we’re releasing the new Jupyter extension for Visual Studio Code today! The Jupyter extension is the latest step in our journey to bring the power of Jupyter Notebook into VS Code for a variety of languages and scenarios. Jupyter Notebook enables creating and sharing documents that contain live code, equations, text, and visualizations, and is the de facto data scien
Python in Visual Studio Code – November 2020 Release - Python
We are pleased to announce that the November 2020 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more abou
Bringing the power of the Monaco Editor to nteract - Python
The Python team is excited to announce the introduction of our popular Monaco Editor in nteract, the open-source organization that builds SDKs, applications, and libraries to make the most of interactive notebooks. Over the past few months, we have been working with the help of the nteract community to bring this editor to your notebook. Our team at Microsoft has actively embraced nteract in our n
Announcing the new Jupyter Book
Jupyter Book is an open source project for building beautiful, publication-quality books, websites, and documents from source material that contains computational content. With this post, we’re happy to announce that Jupyter Book has been re-written from the ground up, making it easier to install, faster to use, and able to create more complex publishing content in your books. It is now supported
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