QuantConnect.pythonnet
2.0.42
Prefix Reserved
dotnet add package QuantConnect.pythonnet --version 2.0.42
NuGet\Install-Package QuantConnect.pythonnet -Version 2.0.42
<PackageReference Include="QuantConnect.pythonnet" Version="2.0.42" />
paket add QuantConnect.pythonnet --version 2.0.42
#r "nuget: QuantConnect.pythonnet, 2.0.42"
// Install QuantConnect.pythonnet as a Cake Addin #addin nuget:?package=QuantConnect.pythonnet&version=2.0.42 // Install QuantConnect.pythonnet as a Cake Tool #tool nuget:?package=QuantConnect.pythonnet&version=2.0.42
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 orPYTHONNET_PYDLL
environment 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 viaPyObject
and 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 * 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.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net9.0 is compatible. |
-
net9.0
- fasterflect (>= 3.0.0)
NuGet packages (26)
Showing the top 5 NuGet packages that depend on QuantConnect.pythonnet:
Package | Downloads |
---|---|
QuantConnect.Common
QuantConnect LEAN Engine: Common Project - A collection of common definitions and utils |
|
QuantConnect.Indicators
QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators |
|
QuantConnect.Algorithm
QuantConnect LEAN Engine: Algorithm Project - Core QCAlgorithm implementation |
|
QuantConnect.Algorithm.Framework
QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation |
|
QuantConnect.Lean.Engine
QuantConnect LEAN Engine: Engine Project - Core engine and datafeed implementation |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on QuantConnect.pythonnet:
Repository | Stars |
---|---|
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
|
Version | Downloads | Last updated |
---|---|---|
2.0.42 | 174 | 12/20/2024 |
2.0.41 | 2,485 | 12/3/2024 |
2.0.40 | 1,653 | 11/1/2024 |
2.0.39 | 8,612 | 9/27/2024 |
2.0.38 | 30,509 | 5/24/2024 |
2.0.37 | 3,140 | 5/14/2024 |
2.0.36 | 4,579 | 4/23/2024 |
2.0.35 | 3,192 | 4/19/2024 |
2.0.34 | 15,047 | 4/17/2024 |
2.0.33 | 176 | 4/16/2024 |
2.0.32 | 1,505 | 4/15/2024 |
2.0.31 | 466 | 4/12/2024 |
2.0.30 | 204 | 4/11/2024 |
2.0.29 | 4,810 | 3/18/2024 |
2.0.28 | 7,070 | 3/5/2024 |
2.0.27 | 170 | 3/4/2024 |
2.0.26 | 33,043 | 12/8/2023 |
2.0.25 | 5,717 | 11/21/2023 |
2.0.24 | 7,988 | 10/27/2023 |
2.0.23 | 2,312 | 10/19/2023 |
2.0.22 | 750 | 10/12/2023 |
2.0.21 | 48,999 | 7/11/2023 |
2.0.20 | 5,438 | 6/26/2023 |
2.0.19 | 207 | 6/26/2023 |
2.0.18 | 84,248 | 3/3/2023 |
2.0.17 | 122,279 | 8/24/2022 |
2.0.16 | 21,092 | 6/27/2022 |
2.0.15 | 25,255 | 5/17/2022 |
2.0.14 | 5,235 | 5/6/2022 |
2.0.13 | 4,656 | 5/2/2022 |
2.0.12 | 5,817 | 4/28/2022 |
2.0.11 | 77,707 | 12/27/2021 |
2.0.10 | 30,794 | 10/22/2021 |
2.0.9 | 436 | 10/21/2021 |
2.0.8 | 5,210 | 10/13/2021 |
2.0.7 | 700 | 10/8/2021 |
2.0.6 | 16,092 | 8/26/2021 |
2.0.5 | 20,222 | 7/14/2021 |
2.0.4 | 33,568 | 6/11/2021 |
2.0.3 | 2,309 | 6/8/2021 |
2.0.2 | 8,287 | 5/28/2021 |
2.0.1 | 21,198 | 3/13/2021 |
2.0.0 | 965 | 3/9/2021 |
1.0.5.30 | 221,872 | 3/31/2020 |
1.0.5.29 | 44,301 | 11/13/2019 |
1.0.5.28 | 629 | 11/12/2019 |
1.0.5.27 | 586 | 11/12/2019 |
1.0.5.26 | 8,903 | 10/15/2019 |
1.0.5.25 | 5,501 | 9/23/2019 |
1.0.5.24 | 5,945 | 9/10/2019 |
1.0.5.23 | 719 | 9/5/2019 |
1.0.5.22 | 632 | 9/5/2019 |
1.0.5.21 | 829 | 6/24/2019 |
1.0.5.20 | 41,242 | 4/23/2019 |
1.0.5.19 | 5,027 | 4/2/2019 |
1.0.5.18 | 845 | 3/27/2019 |
1.0.5.17 | 12,157 | 2/21/2019 |
1.0.5.16 | 713 | 2/20/2019 |
1.0.5.15 | 9,177 | 1/22/2019 |
1.0.5.14 | 853 | 1/18/2019 |
1.0.5.13 | 833 | 1/15/2019 |
1.0.5.12 | 10,544 | 8/27/2018 |
1.0.5.11 | 862 | 8/27/2018 |
1.0.5.10 | 896 | 8/24/2018 |
1.0.5.9 | 1,081 | 7/23/2018 |
1.0.5.8 | 38,745 | 7/16/2018 |
1.0.5.7 | 287,658 | 4/2/2018 |
1.0.5.6 | 1,089 | 4/2/2018 |
1.0.5.5 | 2,697 | 2/2/2018 |
1.0.5.4 | 2,387 | 12/29/2017 |
1.0.5.3 | 1,079 | 12/29/2017 |
1.0.5.2 | 1,461 | 11/29/2017 |
1.0.5.1 | 3,033 | 10/9/2017 |
1.0.5 | 1,201 | 9/29/2017 |
1.0.4.8 | 1,352 | 9/12/2017 |
1.0.4.7 | 969 | 9/8/2017 |
1.0.4.6 | 983 | 9/4/2017 |
1.0.4.5 | 991 | 8/21/2017 |
1.0.4.4 | 2,593 | 6/23/2017 |
1.0.4.3 | 1,055 | 6/23/2017 |
1.0.4.2 | 1,010 | 6/22/2017 |
1.0.4.1 | 993 | 6/22/2017 |
1.0.4 | 1,082 | 6/15/2017 |
1.0.3.5 | 1,462 | 6/1/2017 |
1.0.3.4 | 993 | 6/1/2017 |
1.0.3.3 | 992 | 6/1/2017 |
1.0.3.2 | 982 | 5/31/2017 |
1.0.3.1 | 1,024 | 5/31/2017 |
1.0.3 | 999 | 5/31/2017 |
1.0.2.1 | 1,129 | 5/25/2017 |
1.0.2 | 1,052 | 5/23/2017 |
1.0.1.1 | 1,921 | 4/11/2017 |
1.0.0 | 1,091 | 1/12/2017 |