NW.Shared.Files 1.0.0

.NET 8.0 
dotnet add package NW.Shared.Files --version 1.0.0
NuGet\Install-Package NW.Shared.Files -Version 1.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="NW.Shared.Files" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add NW.Shared.Files --version 1.0.0
#r "nuget: NW.Shared.Files, 1.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install NW.Shared.Files as a Cake Addin
#addin nuget:?package=NW.Shared.Files&version=1.0.0

// Install NW.Shared.Files as a Cake Tool
#tool nuget:?package=NW.Shared.Files&version=1.0.0

NW.Shared.Files is a library that provides a collection of adapters to overcome the limits of System.IO.File and System.IO.FileInfo.

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on NW.Shared.Files:

Package Downloads
NW.NGramTextClassification

NW.NGramTextClassification is a library to perform Text Classification on the string of text you provide. Text Classification is a machine learning technique that calculates the similarity between the string of text you need to categorize and a collection of already categorized strings you provide to the library.
NW.UnivariateForecasting

NW.UnivariateForecasting is a library to perform Univariate Forecasting on your own values. Time Series Forecasting is a machine learning technique that aims to predict the next values in a time series when a subset of subsequent values is provided ("sliding window").

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.0 161 2/11/2024