QuantConnect.pythonnet 2.0.22
pythonnet is a package that gives .NET programmers ability to
integrate Python engine and use Python libraries.
Embedding Python in .NET
- You must set
Runtime.PythonDLLproperty orPYTHONNET_PYDLLenvironment variable, otherwise you will receiveBadPythonDllException(internal, derived fromMissingMethodException) upon callingInitialize. Typical values arepython38.dll(Windows),libpython3.8.dylib(Mac),libpython3.8.so(most other *nix). Full path may be required. - 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, egmod.func(args). You can also access Python objects viaPyObjectand dervied types instead of usingdynamic. - Use
mod.func(args, Py.kw("keywordargname", keywordargvalue))ormod.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 * 2works,2 * np.pidoesn't.
Example
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.]
Resources
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
.NET Foundation
This project is supported by the .NET Foundation.
Showing the top 20 packages that depend on QuantConnect.pythonnet.
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QuantConnect.Lean.Engine
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5 |
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QuantConnect.Indicators
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QuantConnect.Indicators
Lean Engine is an open-source, plataform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
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4 |
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QuantConnect.ToolBox
QuantConnect LEAN Engine: ToolBox Project - A collection of data downloaders and converters
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4 |
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QuantConnect.Research
QuantConnect LEAN Engine: Research Project - Core implementation for jupyter research environment
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4 |
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QuantConnect.Lean.Engine
QuantConnect LEAN Engine: Engine Project - Core engine and datafeed implementation
|
4 |
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QuantConnect.Indicators
Lean Engine is an open-source, platform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
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4 |
.NET 6.0
- fasterflect (>= 3.0.0)
| Version | Downloads | Last updated |
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| 2.0.53 | 2 | 04/13/2026 |
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| 2.0.1 | 2 | 04/13/2026 |
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| 1.0.1.1 | 2 | 04/13/2026 |
| 1.0.0 | 2 | 04/13/2026 |