nilnul._num_._LINQ_ 1.1.230419.172425-sym

This is a prerelease version of nilnul._num_._LINQ_.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package nilnul._num_._LINQ_ --version 1.1.230419.172425-sym
NuGet\Install-Package nilnul._num_._LINQ_ -Version 1.1.230419.172425-sym
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="nilnul._num_._LINQ_" Version="1.1.230419.172425-sym" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add nilnul._num_._LINQ_ --version 1.1.230419.172425-sym
#r "nuget: nilnul._num_._LINQ_, 1.1.230419.172425-sym"
#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 nilnul._num_._LINQ_ as a Cake Addin
#addin nuget:?package=nilnul._num_._LINQ_&version=1.1.230419.172425-sym&prerelease

// Install nilnul._num_._LINQ_ as a Cake Tool
#tool nuget:?package=nilnul._num_._LINQ_&version=1.1.230419.172425-sym&prerelease

natural number linq(connection to database/db)

Product Compatible and additional computed target framework versions.
.NET Framework net481 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (40)

Showing the top 5 NuGet packages that depend on nilnul._num_._LINQ_:

Package Downloads
nilnul.num._quotient_._LIB_

quotient/rational numbers;

nilnul._txt_._LIB_

Text;txt character string

nilnul._time_._LIB_

time; a real numbered line with an origin; the origin is set differently by different calendar; each calendar is a way of scaling the timeline

nilnul.geometry._planar_._LIB_

planar/2dimensional geometry; we also merged 1d/linear geometry here, where we defined length.

nilnul._stat_._LIB_

statistics, including probability/distribution/sampling/etc

GitHub repositories

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