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NuGet Gallery | pythonnet 3.0.5



pythonnet is a package that gives .NET programmers ability to integrate Python engine and use Python libraries.

• You must set Runtime.PythonDLL property or PYTHONNET_PYDLL environment variable, otherwise you will receive BadPythonDllException (internal, derived from MissingMethodException) upon calling Initialize. Typical values are python38.dll (Windows), libpython3.8.dylib (Mac), libpython3.8.so (most other *nix). Full path may be required.
• Then call PythonEngine.Initialize(). If you plan to use Python objects from multiple threads, also call PythonEngine.BeginAllowThreads().
• All calls to Python should be inside a using (Py.GIL()) {/* Your code here */} block.
• Import python modules using dynamic mod = Py.Import("mod"), then you can call functions as normal, eg mod.func(args). You can also access Python objects via PyObject and dervied types instead of using dynamic.
• Use mod.func(args, Py.kw("keywordargname", keywordargvalue)) or mod.func(args, keywordargname: keywordargvalue) to apply keyword arguments.
• Mathematical operations involving python and literal/managed types must have the python object first, eg. np.pi * 2 works, 2 * np.pi doesn't.

using var _ = Py.GIL();

dynamic np = Py.Import("numpy");
Console.WriteLine(np.cos(np.pi * 2));

dynamic sin = np.sin;
Console.WriteLine(sin(5));

double c = (double)(np.cos(5) + sin(5));
Console.WriteLine(c);

dynamic a = np.array(new List<float> { 1, 2, 3 });
Console.WriteLine(a.dtype);

dynamic b = np.array(new List<float> { 6, 5, 4 }, dtype: np.int32);
Console.WriteLine(b.dtype);

Console.WriteLine(a * b);
Console.ReadKey();

Output:

1.0
-0.958924274663
-0.6752620892
float64
int32
[  6.  10.  12.]

Information on installation, FAQ, troubleshooting, debugging, and projects using pythonnet can be found in the Wiki:

https://github.com/pythonnet/pythonnet/wiki

Mailing list https://mail.python.org/mailman/listinfo/pythondotnet Chat https://gitter.im/pythonnet/pythonnet

This project is supported by the .NET Foundation.

Showing the top 5 NuGet packages that depend on pythonnet:

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.

C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!

Core runtime components for Gradient

.NET bindings for NumPy. Requires the actual Python with NumPy installed.

FULL TensorFlow 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras, estimators and many more APIs. Free for non-commercial use. For licensing options see https://losttech.software/buy_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with TensorFlow 2.5.x. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 2.5 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email contact@losttech.software . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Showing the top 10 popular GitHub repositories that depend on pythonnet:

python interop dynamic dlr Mono pinvoke

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