A Visual Studio Codeextension that provides basic notebook support for language kernels that are supported in Jupyter Notebooks today. Many language kernels will work with no modification. To enable advanced features, modifications may be needed in the VS Code language extensions.

• Visual Studio 2019 Jupyter Notebook
• Visual Studio Jupyter Lab
• Python With Vscode

The Jupyter project has made strides in the past few years towards filling that gap, notably with the JupyterLab project, which enables a richer UI including a file browser, text editors, consoles, notebooks, and a rich layout system. Use Jupyter Notebooks in Azure Data Studio.; 4 minutes to read; y; m; In this article. Applies to: SQL Server 2019 (15.x) Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. The situation I use Anaconda 3 on Windows 10. I have a Visual Studio Code workspace (myworkspace) than contains a Jupyter notebook (mynotebook.ipynb). VSCode has the Python extension installed. Jupyter Extension for Visual Studio Code A Visual Studio Code extension that provides basic notebook support for language kernels that are supported in Jupyter Notebooks today. Many language kernels will work with no modification. To enable advanced features, modifications may be needed in the VS Code language extensions. Jupyter Notebooks are documents that contain a mix of live code (Python, R, Julia, JavaScript, and more), visualizations, and narrative text (Markdown). They're useful for breaking down concepts in a story telling form, where you can give some context and show the code below along with interactive visualizations.

Working with Python

Whether you are on VS Code Stable or VS Code Insiders, if you would like to work with Python just make sure you're using the latest version of the Python Extension to enjoy the joint partnership of the Python and Juypter Extensions.

Please follow the Python Extension ReadMe instructions to get started and visit the Python Documentation to learn more about how the Python and Jupyter Extension are working together to provide an optimum Python notebooks experience.

Working with other Languages

The Jupyter Extension supports other languages in addition to Python such as Julia, R, and C# in VS Code Insiders with our latest Native VS Code Notebooks Experience!

Quick Start

• Step 1. Install VS Code Insiders

• Step 2 If not working with Python, make sure to have a Jupyter kernelspec that corresponds to the language you would like to use installed on your machine.

• Step 3. Install the Jupyter Extension

• Step 4. Open or create a notebook file and start coding!

• Special Note: The Jupyter Extension in VS Code Insiders will include our Native Notebooks experience by default. Because we are running in VS Code Insiders and this build is updated every day, there may be times when our extension may fail to work at all. We do attempt to ensure that this doesn't happen frequently. If it does, we strive to provide an updated extension build by the next business day. However, if you'd like to opt out of the native experience while working in VS Code Insiders:

  • Open the command palette (Windows: Ctrl + Shift + P, iOS: Command + Shift + P) and select 'Preferences: Open Settings (JSON)'
  • Add the following code to your JSON settings:'jupyter.experiments.optOutFrom': ['NativeNotebookEditor'],

Notebooks Quick Start

• To create a new notebook open the command palette (Windows: Ctrl + Shift + P, iOS: Command + Shift + P) and select the command 'Jupyter: Create New Blank Notebook'

• Select your kernel by clicking on the kernel picker in the bottom right of the status bar or by invoking the 'Notebook: Select Notebook Kernel' command.

• Change the cell language by clicking the language picker or by invoking the 'Notebook: Change Cell Language' command.

Useful commands

Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:

To see all available Jupyter Notebook commands, open the Command Palette and type Jupyter or Notebook.

Feature details

Learn more about the rich features of the Jupyter extension:

• IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more!

  • May be limited due to kernelspec of choice

• Jupyter Notebooks: Create and edit Jupyter Notebooks, add and run code/markdown cells, render plots, create presentation-friendly versions of your notebook by exporting to HTML or PDF and more!

Supported locales

The extension is available in multiple languages: de, en, es, fa, fr, it, ja, ko-kr, nl, pl, pt-br, ru, tr, zh-cn, zh-tw

Questions, issues, feature requests, and contributions

• If you have a question about how to accomplish something with the extension, please ask on Stack Overflow. Our wiki is also updated periodically with useful information.

• Any and all feedback is appreciated and welcome! If you come across a problem with the extension, please file an issue.

  • If someone has already filed an issue that encompasses your feedback, please leave a 👍/👎 reaction on the issue.

• Contributions are always welcome! Please see our contributing guide for more details.

• If you're interested in the development of the extension, you can read about our development process

Visual Studio 2019 Jupyter Notebook

Data and telemetry

Visual Studio Jupyter Lab

The Microsoft Jupyter Extension for Visual Studio Code collects usagedata and sends it to Microsoft to help improve our products andservices. Read ourprivacy statement tolearn more. This extension respects the telemetry.enableTelemetrysetting which you can learn more about athttps://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.

You can now run Python code directly in a Jupyter (IPython) kernel.More information on Jupyter (IPython) can be found here

Features

• Running a line of Python code in a Kernel
• Running selected Pytohn code in a Kernel
• Running a block of code (cell) in a Kernel
• Restart, Interrupt and Shutdown a kernel
• Selecting a kernel
• Viewing output within Visual Studio Code (Images, Html, Graphs, LaTeX, SVG, and more)

Getting Started

• Before using Jupyter (IPython), you will need to ensure the prerequisites are installed and setup.
• Once you have the necessary prerequisites installed and setup, you are ready to evaluate code in a Jupyter kernel from within Visual Studio Code.
• For instance you can select a line or a block of code and evaluate it in a kernel and view the results
• Evaluating a block of code is what starts a kernel, and results in the displaying of the results and a status bar item to manage the kernel
• If selecting blocks of code is too cumbersome you can always use comment blocks to define a block of code also known as a cell for easy execution.

Features in detail

Python With Vscode

• Running a line or selection of code in a kernel
  • You could select a block of code and execute it in a kernel
  • You could place the cursor at a line and execute just that line
• Running a cell in a kernel
  • Provided you have defined a block of code using the necessary characters, code lenses will automatically appear allowing you to run that cell in a kernel
• Managing kernels
  • Running a block of code in a kernel results in a kernel being Started
  • The kernel can be managed via the quick pick options displayed when clicking a status bar item
  • You could restart, interrupt, shutdown or even select a different kernel (e.g. you could have two kernels, one for Python 2.7 and another for Python 3.5)
• Results are displayed within Visual Studio Code (with support for various interactive graphs)

Configuration

At the moment, the following configuration options are supported.More details on setting up the following configuration settings can be found here.

• Defining the default kernel
• Defining startup code for the jupyter kernel
  • The default startup code is %matplotlib inline
• Controlling whether results are appended to existing results or not.