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For the Python programming language, Pandas is an efficient and popular data analysis tool, especially its Dataframe, used to manipulate and display data. For the .NET programming languages, we can use Deedle or Microsoft.Data.Analysis package available in NuGet which also provides a DataFrame class used to manipulate, transform, and display data.
This example focuses on Microsoft.Data.Analysis package by demonstrating some basic features of the DataFrame class in Jupyter Notebook.
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It can be used as a tool for interactively developing and presenting data science projects. Mostly, it is used with Python and R which are scripting languages. However, it can also be used with compiled languages, such as .NET programming languages, Go, and Julia. For a list of supported programming languages, please refer to the Jupyter kernels page in GitHub.
This article explains steps to set up Jupyter Notebook for .NET Core programming languages on Windows 10. It is based on the .NET Notebooks Preview 2 that supports C#, F#, and PowerShell. This article also provides few C# examples that demonstrate how to use DataFrame and Charts.
RDF Storage is a database used to store and query RDF data. RDF stands for Resource Description Framework, which is a standard model for describing and interchanging data on the web.
RDF storage contains collections of RDF statements, which are three-part statements known as triples. Each triple has a resource (subject), property (predicate), and property value (object).
R is an interpreted programming language for statistical computing and graphics supported by the R Foundation. It is widely used among statisticians and data miners for developing statistical software and data analysis.
R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows, and macOS.
“We live in an API-driven world,” said Julia Kreger, OpenStack Ironic project team lead and principal software engineer at Red Hat.
API is an acronym for “Application Programming Interface.” It has a long history since the first computer programs were written. At first, APIs form “contracts” for accessing resources from the operating system, software libraries, or other systems.