.NET Interactive

.NET interactive provides data scientists and developers a way to explore data, experiment with code, and try new ideas effortlessly. Use .NET Interactive to build .NET Jupyter notebooks or custom interactive coding experiences.

Jupyter Notebooks with .NET

Jupyter Notebooks with .NET Core | Preview 2

There are several ways to get started using .NET with Jupyter.

• Try sample .NET notebooks online using Binder. This also allows you try out our daily builds, which includes preview features of F# 5.
• Create and run .NET notebooks on your machine. (Installation instructions below.)
• Share your own .NET notebooks with others online using Binder.
• Use .NET Interactive with nteract

How to Install .NET Interactive

First, make sure you have the following installed:

• The .NET 3.1 SDK.

• Jupyter. Jupyter can be installed using Anaconda.

• Open the Anaconda Prompt (Windows) or Terminal (macOS) and verify that Jupyter is installed and present on the path:

> jupyter kernelspec list
  python3        ~\jupyter\kernels\python3

• Next, in an ordinary console, install the dotnet interactive global tool:

> dotnet tool install -g --add-source "https://dotnet.myget.org/F/dotnet-try/api/v3/index.json" Microsoft.dotnet-interactive

• Register .NET Interactive as a Jupyter kernel by running the following within your Anaconda Prompt:

> dotnet interactive jupyter install

[InstallKernelSpec] Installed kernelspec .net-powershell in ~\jupyter\kernels\.net-powershell
.NET kernel installation succeeded

[InstallKernelSpec] Installed kernelspec .net-csharp in ~\jupyter\kernels\.net-csharp
.NET kernel installation succeeded

[InstallKernelSpec] Installed kernelspec .net-fsharp in ~\jupyter\kernels\.net-fsharp
.NET kernel installation succeeded

• You can now verify the installation by running the following in the Anaconda Prompt:

> jupyter kernelspec list
  .net-csharp       ~\jupyter\kernels\.net-csharp
  .net-fsharp       ~\jupyter\kernels\.net-fsharp
  .net-powershell   ~\jupyter\kernels\.net-powershell
  python3           ~\jupyter\kernels\python3

Packages

We are providing a number of packages that can be used to write custom extensions for .NET Interactive or to build your own interactive experiences.

Package	Version	Description
Microsoft.dotnet-interactive		The dotnet-interactive global tool
Microsoft.DotNet.Interactive		Core types for building applications providing interactive programming for .NET.
Microsoft.DotNet.Interactive.Formatting		Convention-based and highly configurable .NET object formatting for interactive programming, including support for mime types suitable for building visualizations for Jupyter Notebooks and web browsers.
Microsoft.DotNet.Interactive.FSharp		Microsoft.DotNet.Interactive.IKernel implementation for F#
Microsoft.DotNet.Interactive.CSharp		Microsoft.DotNet.Interactive.IKernel implementation for C#

Contribution Guidelines

As we are still in the early stages of development, we may not take any feature PRs at the moment, but we intend to do so in the future. If you find an bug or have a feature suggestion, please open an issue.

Customers & Partners

Azure Synapse Analytics	Azure HDInsight (HDI)
Azure Synapse Analytics uses the .NET kernel to write and run quick ad-hoc queries in addition to developing complete, end-to-end big data scenarios, such as reading in data, transforming it, and visualizing it	You can launch Jupyter notebooks from your HDInsight cluster to run big data queries against the compute resources in that cluster.