.NET Core with Jupyter Notebooks – Available today | Preview 1

November 6th, 2019

Please Annotation: The instructions in this post are obsolete. For the latest instructions please visit the .Cyberspace Interactive repo. For more data please look at our Preview two announcement for more data.

When you think well-nigh Jupyter Notebooks, you probably call back almost writing your code in Python, R, Julia, or Scala and not .NET. Today we are excited to denote you lot tin can write .Net code in Jupyter Notebooks.

Try .Net has grown to back up more interactive experiences across the web with runnable lawmaking snippets, interactive documentation generator for .Cyberspace core with dotnet try global tool, and now .NET in Jupyter Notebooks.

Build .NET Jupyter Notebooks

To go started with .NET Notebooks, you will need the following:

  • .Cyberspace Core 3.0 SDK
  • Jupyter : You can install Jupyter on your machine using Anaconda. For alternative means to install Jupyter please cheque out the Jupyter's Project official documentation.
  • Open the Anaconda Prompt (Windows) or Last (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 -chiliad dotnet-try
  • Install the .NET kernel by running the following within Anaconda Prompt:
          > dotnet try jupyter install [InstallKernelSpec] Installed kernelspec .net-csharp in ~\jupyter\kernels\.net-csharp .Cyberspace kernel installation succeeded  [InstallKernelSpec] Installed kernelspec .net-fsharp in ~\jupyter\kernels\.net-fsharp .NET kernel installation succeeded
  • You lot can verify the installation past running the following once again in the Anaconda Prompt:
          > jupyter kernelspec list   .net-csharp    ~\jupyter\kernels\.internet-csharp   .net-fsharp    ~\jupyter\kernels\.internet-fsharp   python3        ~\jupyter\kernels\python3

Features

The initial set of features we released needed to be relevant to developers, with Notebook experience as well equally requite users new to the experience a useful set of tools they would exist eager to endeavour. Permit'south take a look at some of the features nosotros have enabled.

The first affair y'all will need to be aware of is when writing C# or F# in a .Cyberspace Notebook, you will be using C# Scripting or F# interactive.

Y'all can either explore the features listed below locally on your auto or online using the dotnet/interactive binder image.

For the online documentation, please go to the Docs subfolder located in C# or F# folders.

Listing of features

Display output : There are several ways to brandish output in notebooks. Yous tin can use any of the methods demonstrated in the image beneath.

Object formatters : Past default, the .NET notebook experience enables users to brandish useful information about an object in table format.

HTML output : Past default .NET notebooks ship with several helper methods for writing HTML. From basic helpers that enable users to write out a string as HTML or output Javascript to more complex HTML with PocketView.

Importing packages : You lot tin load NuGet packages using the following syntax:

#r "nuget:<package name>,<parcel version>"

For Example

          # r "nuget:Octokit, 0.32.0" # r "nuget:NodaTime, 2.four.half dozen" using Octokit; using NodaTime;  using NodaTime.Extensions;  using XPlot.Plotly;

Charts with XPlot

Charts are rendered using Xplot.Plotly. As soon as users import XPlot.Plotly namespace into their notebooks(using Xplot.Ploty;), they can begin creating rich data visualizations in .Cyberspace.

Please bank check the .NET Notebook online for more than documentation and samples.

.NET Notebooks perfect for ML .Net and .Cyberspace for Apache® Spark™

.Internet notebooks bring iterative, interactive experiences popular in the worlds of machine learning and big data to .Net.

ML.Internet

ML.Internet with Jupyter Notebooks

.Net notebooks open several compelling scenarios for ML.Internet, like exploring and documenting model training experiments, information distribution exploration, data cleaning, plotting data charts, and learning.

For more details on how you tin leverage ML.NET in Jupyter notebooks, check out this weblog mail on Using ML.Cyberspace in Jupyter notebooks. The ML.Cyberspace squad has put together several online samples for you to go started with.

.NET for Apache® Spark™

Large Data for .Cyberspace

Having notebooks back up is indispensable when you are dealing with Big information employ cases. Notebooks allow data scientists, car learning engineers, analysts, and anyone else interested in big information to prototype, run, and analyze queries speedily.

So how can .Internet developers and major .Internet shops proceed upwards with our data-oriented future? The answer is .Internet for Apache Spark, which you tin now use from within notebooks!

Today, .NET developers accept 2 options for running .NET for Apache Spark queries in notebooks: Azure Synapse Analytics Notebooks and Azure HDInsight Spark + Jupyter Notebooks. Both experiences allow you 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.

Option 1: Azure Synapse Analytics ships with out-of-the-box .Internet support for Apache Spark (C#).

Option ii: Checkout the guide on the .NET for Apache Spark GitHub repo to learn how to get started with .Internet for Apache Spark in HDInsight + Jupyter notebooks. The experience will expect similar the image below.

Become Started with the .Cyberspace Jupyter Notebooks Today!

.Net kernel brings interactive developer experiences of Jupyter Notebooks to the .Internet ecosystem. We promise you have fun creating .Cyberspace notebooks. Delight checkout our repo to learn more than and let united states of america know what you build.