With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data to science analysis tooling lately, previewing .NET Core with Jupyter Notebooks functionality and a DataFrame type for .NET for easier data exploration. Jupyter Notebooks, even though tightly tied to data science darling programming language Python, can now be done with .NET languages C# or F#. The popular notebooks provide interactive environments — like documents or canvases — that can feature source code and markdown, or rich text formatting, and other media.
Preview one was announced last month, requiring the .NET Core 3.0 SDK. When you think about Jupyter Notebooks, you probably think about writing your code in Python, R, Julia, or Scala and not .NET, Microsoft said. Today, we are excited to announce you can write .NET code in Jupyter Notebooks. The post details working with ML.NET with Jupyter Notebooks for machine learning projects and .NET for Apache Spark for Big Data with projects in .NET. The initial set of features we released needed to be relevant to developers, with Notebook experience as well as give users new to the experience a useful set of tools they would be eager to try, Microsoft said.
Following up on that news, Microsoft on Dec. 16 announced the preview of the new DataFrame type for .NET. If you’ve used Python to manipulate data in notebooks, you’ll already be familiar with the concept of a DataFrame, Microsoft said. At a high level, it is an in-memory representation of structured data. The post goes on to provide an overview of this new type and how developers can use it from Jupyter notebooks. Developers can interactively follow along here.