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.
We’re excited to announce that we’re releasing the new Jupyter extension for Visual Studio Codetoday! 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 science tool for its simplicity and interactivity. At Microsoft we’re all in to embrace its power. The Python extension for VS Code has shipped with Jupyter Notebook support for over a year with growing popularity. We understand that Jupyter Notebooks are also used with other programming languages beyond Python, such as R, Julia, and Scala. To enable the same rich Jupyter Notebook experience for other languages, we’ve refactored the Jupyter support out of the Python extension and into the Jupyter extension that we’re shipping today. This makes it much easier to build new Jupyter experiences for languages beyond Python by taking a dependency on the Jupyter extension, which itself has no dependency on the Python runtime or the Python extension. For our existing VS Code Python Notebooks users, thank you again for all your feedback that helps shape our investments, there’s no change in the experience for you as the Jupyter extension comes installed with the Python extension.
The Jupyter extension provides basic notebook support for any language kernel that is supported in Jupyter Notebooks today. Many language kernels will work with no modification. To enable advanced features such as full IntelliSense and debugging, there may be modifications needed in the VS Code language extensions. These will be documented as the project evolves. The screenshot below shows viewing and running a Julia Notebook in VS Code using the Jupyter extension.
The code for the new Jupyter extension lives in the GitHub repo under the MIT license. This work is rapidly evolving. We’ll continue to polish the extension in the coming weeks and months, and we look forward to collaborating with the Jupyter community to refine and evolve this extension to support a variety of languages and scenarios.
If you have feedback or suggestions on any of the above experiences, please let us know by filing issues in the repo. This is just the beginning of this exciting journey, and we can’t wait to see what we can build together for a richer Jupyter Notebooks experience in VS Code!
Are you looking for experienced, reliable, and qualified Python developers? If yes, you have reached the right place. At **[HourlyDeveloper.io](https://hourlydeveloper.io/ "HourlyDeveloper.io")**, our full-stack Python development services...
Looking to build robust, scalable, and dynamic responsive websites and applications in Python? At **[HourlyDeveloper.io](https://hourlydeveloper.io/ "HourlyDeveloper.io")**, we constantly endeavor to give you exactly what you need. If you need to...
After analyzing clients and market requirements, TopDevelopers has come up with the list of the best Python service providers. These top-rated Python developers are widely appreciated for their professionalism in handling diverse projects. When...
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.