Python.Runtime.NETStandard 2.7.1

Suggested Alternatives

pythonnet_netstandard_py37_win

Additional Details

There are newer versions but the package name has been changed to pythonnet_netstandard_py(27|35|36|37|38)_win so please switch to the new packages in order to update.

There is a newer version of this package available.
See the version list below for details.
dotnet add package Python.Runtime.NETStandard --version 2.7.1                
NuGet\Install-Package Python.Runtime.NETStandard -Version 2.7.1                
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="Python.Runtime.NETStandard" Version="2.7.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Python.Runtime.NETStandard --version 2.7.1                
#r "nuget: Python.Runtime.NETStandard, 2.7.1"                
#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 Python.Runtime.NETStandard as a Cake Addin
#addin nuget:?package=Python.Runtime.NETStandard&version=2.7.1

// Install Python.Runtime.NETStandard as a Cake Tool
#tool nuget:?package=Python.Runtime.NETStandard&version=2.7.1                

Pythonnet compiled against .NetStandard 2.0 and CPython 2.7 (win64)

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  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. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Python.Runtime.NETStandard:

Package Downloads
Torch.NET

Torch.NET brings the awesome Python package PyTorch to the .NET world. PyTorch offers Tensor computations and more with efficient GPU or multi-core CPU processing support and is to be considered one of the fundamental libraries for scientific computing, machine learning and AI in Python. Torch.NET empowers .NET developers to leverage PyTorch's extensive functionality including computational graphs with with multi-dimensional arrays, back-propagation, neural network implementations and many more via a compatible strong-typed API.

Python.Included36

Python.Included is an automatic deployment mechanism for .NET packages which depend on the embedded Python distribution. This allows libraries depending on Python and/or Python packages to be deployed via Nuget without having to worry about any local Python installations.

Ludwig.NET

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

GitHub repositories

This package is not used by any popular GitHub repositories.