QuantConnect.pythonnet 2.0.53

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.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.
  • 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.

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.

Packages Downloads
QuantConnect.Lean.Engine
QuantConnect LEAN Engine: Engine Project - Core engine and datafeed implementation
7
QuantConnect.Indicators
QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators
7
QuantConnect.Algorithm
QuantConnect LEAN Engine: Algorithm Project - Core QCAlgorithm implementation
6
QuantConnect.Indicators
QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators
6
QuantConnect.Common
QuantConnect LEAN Engine: Common Project - A collection of common definitions and utils
6
QuantConnect.Common
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.
6
QuantConnect.Api
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.
6
QuantConnect.Lean
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.
6
QuantConnect.Api
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.
6
QuantConnect.Queues
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.
6
QuantConnect.ToolBox
QuantConnect LEAN Engine: ToolBox Project - A collection of data downloaders and converters
6

.NET 10.0

Version Downloads Last updated
2.0.53 5 04/13/2026
2.0.52 4 04/13/2026
2.0.51 5 04/13/2026
2.0.50 4 04/13/2026
2.0.49 2 04/13/2026
2.0.48 4 04/13/2026
2.0.47 4 04/13/2026
2.0.46 4 04/13/2026
2.0.45 3 04/13/2026
2.0.44 3 04/13/2026
2.0.43 4 04/13/2026
2.0.42 4 04/13/2026
2.0.41 5 04/13/2026
2.0.40 3 04/13/2026
2.0.39 4 04/13/2026
2.0.38 4 04/13/2026
2.0.37 3 04/13/2026
2.0.36 6 04/13/2026
2.0.35 4 04/13/2026
2.0.34 4 04/13/2026
2.0.33 3 04/13/2026
2.0.32 4 04/13/2026
2.0.31 3 04/13/2026
2.0.30 4 04/13/2026
2.0.29 3 04/13/2026
2.0.28 5 04/13/2026
2.0.27 5 04/13/2026
2.0.26 5 04/13/2026
2.0.25 4 04/13/2026
2.0.24 4 04/13/2026
2.0.23 3 04/13/2026
2.0.22 4 04/13/2026
2.0.21 4 04/13/2026
2.0.20 3 04/13/2026
2.0.19 5 04/13/2026
2.0.18 4 04/13/2026
2.0.17 6 04/13/2026
2.0.16 5 04/13/2026
2.0.15 5 04/13/2026
2.0.14 5 04/13/2026
2.0.13 4 04/13/2026
2.0.12 4 04/13/2026
2.0.11 4 04/13/2026
2.0.10 4 04/13/2026
2.0.9 5 04/13/2026
2.0.8 3 04/13/2026
2.0.7 5 04/13/2026
2.0.6 5 04/13/2026
2.0.5 5 04/13/2026
2.0.4 5 04/13/2026
2.0.3 5 04/13/2026
2.0.2 3 04/13/2026
2.0.1 3 04/13/2026
2.0.0 5 04/13/2026
1.0.5.30 5 04/13/2026
1.0.5.29 4 04/13/2026
1.0.5.28 2 04/13/2026
1.0.5.27 4 04/13/2026
1.0.5.26 4 04/13/2026
1.0.5.25 5 04/13/2026
1.0.5.24 4 04/13/2026
1.0.5.23 4 04/13/2026
1.0.5.22 5 04/13/2026
1.0.5.21 4 04/13/2026
1.0.5.20 4 04/13/2026
1.0.5.19 4 04/13/2026
1.0.5.18 3 04/13/2026
1.0.5.17 4 04/13/2026
1.0.5.16 2 04/13/2026
1.0.5.15 3 04/13/2026
1.0.5.14 4 04/13/2026
1.0.5.13 4 04/13/2026
1.0.5.12 5 04/13/2026
1.0.5.11 4 04/13/2026
1.0.5.10 4 04/13/2026
1.0.5.9 3 04/13/2026
1.0.5.8 5 04/13/2026
1.0.5.7 3 04/13/2026
1.0.5.6 4 04/13/2026
1.0.5.5 2 04/13/2026
1.0.5.4 5 04/13/2026
1.0.5.3 5 04/13/2026
1.0.5.2 5 04/13/2026
1.0.5.1 4 04/13/2026
1.0.5 4 04/13/2026
1.0.4.8 5 04/13/2026
1.0.4.7 3 04/13/2026
1.0.4.6 4 04/13/2026
1.0.4.5 5 04/13/2026
1.0.4.4 3 04/13/2026
1.0.4.3 5 04/13/2026
1.0.4.2 4 04/13/2026
1.0.4.1 5 04/13/2026
1.0.4 5 04/13/2026
1.0.3.5 5 04/13/2026
1.0.3.4 4 04/13/2026
1.0.3.3 5 04/13/2026
1.0.3.2 4 04/13/2026
1.0.3.1 5 04/13/2026
1.0.3 5 04/13/2026
1.0.2.1 5 04/13/2026
1.0.2 4 04/13/2026
1.0.1.1 5 04/13/2026
1.0.0 5 04/13/2026