Python.Included 3.7.3.13

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.

Install-Package Python.Included -Version 3.7.3.13
dotnet add package Python.Included --version 3.7.3.13
<PackageReference Include="Python.Included" Version="3.7.3.13" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Python.Included --version 3.7.3.13
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Python.Included, 3.7.3.13"
For F# scripts that support #r syntax, copy this into the source code to reference the package.

NuGet packages (3)

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

Package Downloads
Numpy
C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!
OpenRPA.Script
A couple of activities to allow executing scripts and various different languages
Catalyst.Spacy
Integration for Catalyst to run spaCy models from C#.

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on Python.Included:

Repository Stars
open-rpa/openrpa
Free Open Source Enterprise Grade RPA
SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
curiosity-ai/catalyst
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
nicolasdeory/leagueoflegends-led
A modular League of Legends integration for Razer Chroma and other RGB LED devices

Version History

Version Downloads Last updated
3.7.3.13 4,977 9/16/2020
3.7.3.12 280 9/7/2020
3.7.3.11 122 9/4/2020
3.7.3.10 1,736 8/4/2020
3.7.3.9 972 8/3/2020
3.7.3.8 187 7/31/2020
3.7.3.4 18,394 10/11/2019
3.7.3.3 352 9/21/2019
3.7.3.2 1,375 7/22/2019
3.7.3 1,107 6/4/2019