# pythonnet - Python for .NET

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Python for .NET is a package that gives Python programmers nearly
seamless integration with the .NET Common Language Runtime (CLR) and
provides a powerful application scripting tool for .NET developers.
It allows Python code to interact with the CLR, and may also be used to
embed Python into a .NET application.

## Calling .NET code from Python

Python for .NET allows CLR namespaces to be treated essentially
as Python packages.

```python
import clr
from System import String
from System.Collections import *
```

To load an assembly, use the `AddReference` function in the `clr` module:

```python
import clr
clr.AddReference("System.Windows.Forms")
from System.Windows.Forms import Form
```

## Embedding Python in .NET

-   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)`.
-   Use `mod.func(args, Py.kw("keywordargname", keywordargvalue))` or `mod.func(args, keywordargname: keywordargvalue)`
    to apply keyword arguments.
-   All python objects should be declared as `dynamic` type.
-   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

```csharp
static void Main(string[] args)
{
    using (Py.GIL())
    {
        dynamic np = Py.Import("numpy");
        Console.WriteLine(np.cos(np.pi * 2));

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

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

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

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

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

Output:

```c
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

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