Python for .NET
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. Using this package you can script .NET applications or build entire applications in Python, using .NET services and components written in any language that targets the CLR (Managed C++, C#, VB, JScript).
Note that this package does not implement Python as a first-class CLR language - it does not produce managed code (IL) from Python code. Rather, it is an integration of the C Python engine with the .NET runtime. This approach allows you to use use CLR services and continue to use existing Python code and C-based extensions while maintaining native execution speeds for Python code. If you are interested in a pure managed-code implementation of the Python language, you should check out the IronPython project, which is in active development.
Python for .NET is currently compatible with Python releases 2.3 and greater. Current releases are available at the Python for .NET website . To subscribe to the Python for .NET mailing list or read the online archives of the list, see the mailing list information page.
Python for .NET is available as a source release and as a Windows installer for various versions of Python and the common language runtime from the Python for .NET website . On Windows platforms, you can choose to install .NET-awareness into an existing Python installation as well as install Python for .NET as a standalone package.
The source release is a self-contained "private" assembly. Just unzip the package wherever you want it, cd to that directory and run python.exe to start using it. Note that the source release does not include a copy of the CPython runtime, so you will need to have installed Python on your machine before using the source release.
Running on Linux/Mono: preliminary testing shows that PythonNet will run under Mono, though the Mono runtime is not yet complete so there still may be problems. The Python for .NET integration layer is 100% managed code, so there should be no long-term issues under Mono - it should work better and better as the Mono platform matures.
Note that if you are running under Mono on a *nix system, you will need to have a compatible version of Python installed. You will also need to create a symbolic link to the copy of libpython2.x.so (in your existing Python installation) in the PythonNet directory. This is needed to ensure that the mono interop dll loader will find it by name. For example:
ln -s /usr/lib/libpython2.4.so ./python24.so
A key goal for this project has been that Python for .NET should "work just the way you'd expect in Python", except for cases that are .NET specific (in which case the goal is to work "just the way you'd expect in C#"). In addition, with the IronPython project gaining traction, it is my goal that code written for IronPython run without modification under Python for .NET.
If you already know Python, you can probably finish this readme and then refer to .NET docs to figure out anything you need to do. Conversely if you are familiar with C# or another .NET language, you probably just need to pick up one of the many good Python books or read the Python tutorial online to get started.
A good way to start is to run python.exe and follow along with the examples in this document. If you get stuck, there are also a number of demos and unit tests located in the source directory of the distribution that can be helpful as examples.
Note that if you have installed CLR support into your existing Python installation (rather than using the included python.exe), you will need to use the line: "'import clr" (lower-case!) to initially load the clr extension module before trying the following examples.
Python for .NET allows CLR namespaces to be treated essentially as Python packages.
from System import String from System.Collections import *
Note that earlier releases of Python for .NET required you to import modules
through a special top-level package named
Types from any loaded assembly may be imported and used in this manner. To load an assembly, use the "AddReference" function in the "clr" module:
import clr clr.AddReference("System.Windows.Forms") from System.Windows.Forms import Form
Note that earlier releases of Python for .NET relied on "implicit loading" to support automatic loading of assemblies whose names corresponded to an imported namespace. Implicit loading still works for backward compatibility, but will be removed in a future release so it is recommended to use the clr.AddReference method.
Python for .NET uses the PYTHONPATH (sys.path) to look for assemblies
to load, in addition to the usual application base and the GAC. To
ensure that you can implicitly import an assembly, put the directory
containing the assembly in
Python for .NET allows you to use any non-private classes, structs, interfaces, enums or delegates from Python. To create an instance of a managed class, you use the standard instantiation syntax, passing a set of arguments that match one of its public constructors:
from System.Drawing import Point p = Point(5, 5)
In most cases, Python for .NET can determine the correct constructor to call automatically based on the arguments. In some cases, it may be necessary to call a particular overloaded constructor, which is supported by a special "__overloads__" attribute, which will soon be deprecated in favor of iPy compatible "Overloads", on a class:
from System import String, Char, Int32 s = String.Overloads[Char, Int32]('A', 10) s = String.__overloads__[Char, Int32]('A', 10)
When running under versions of the .NET runtime greater than 2.0, you can use generic types. A generic type must be bound to create a concrete type before it can be instantiated. Generic types support the subscript syntax to create bound types:
from System.Collections.Generic import Dictionary from System import * dict1 = Dictionary[String, String]() dict2 = Dictionary[String, Int32]() dict3 = Dictionary[String, Type]()
When you pass a list of types using the subscript syntax, you can also pass a subset of Python types that directly correspond to .NET types:
dict1 = Dictionary[str, str]() dict2 = Dictionary[str, int]() dict3 = Dictionary[str, Decimal]()
This shorthand also works when explicitly selecting generic methods or specific versions of overloaded methods and constructors (explained later).
You can also subclass managed classes in Python, though members of the
Python subclass are not visible to .NET code. See the
Fields And Properties
You can get and set fields and properties of CLR objects just as if they were regular attributes:
from System import Environment name = Environment.MachineName Environment.ExitCode = 1
If a managed object implements one or more indexers, you can call the indexer using standard Python indexing syntax:
from System.Collections import Hashtable table = Hashtable() table["key 1"] = "value 1"
Overloaded indexers are supported, using the same notation one would use in C#:
items[0, 2] items[0, 2, 3]
Methods of CLR objects behave generally like normal Python methods. Static methods may be called either through the class or through an instance of the class. All public and protected methods of CLR objects are accessible to Python:
from System import Environment drives = Environment.GetLogicalDrives()
It is also possible to call managed methods
Note that there is one caveat related to calling unbound methods: it is possible for a managed class to declare a static method and an instance method with the same name. Since it is not possible for the runtime to know the intent when such a method is called unbound, the static method will always be called.
The docstring of CLR a method (__doc__) can be used to view the
signature of the method, including overloads if the CLR method is
overloaded. You can also use the Python
from System import Environment print Environment.GetFolderPath.__doc__ help(Environment)
Overloaded and Generic Methods
While Python for .NET will generally be able to figure out the right version of an overloaded method to call automatically, there are cases where it is desirable to select a particular method overload explicitly.
Methods of CLR objects have an "__overloads__", which will soon be deprecated in favor of iPy compatible Overloads, attribute that can be used for this purpose :
from System import Console Console.WriteLine.Overloads[bool](true) Console.WriteLine.Overloads[str]("true") Console.WriteLine.__overloads__[int](42)
Similarly, generic methods may be bound at runtime using the subscript syntax directly on the method:
Delegates And Events
Delegates defined in managed code can be implemented in Python. A delegate type can be instantiated and passed a callable Python object to get a delegate instance. The resulting delegate instance is a true managed delegate that will invoke the given Python callable when it is called:
def my_handler(source, args): print 'my_handler called!' # instantiate a delegate d = AssemblyLoadEventHandler(my_handler) # use it as an event handler AppDomain.CurrentDomain.AssemblyLoad += d
Multicast delegates can be implemented by adding more callable objects to a delegate instance:
d += self.method1 d += self.method2 d()
Events are treated as first-class objects in Python, and behave in many ways like methods. Python callbacks can be registered with event attributes, and an event can be called to fire the event.
Note that events support a convenience spelling similar to that used
in C#. You do not need to pass an explicitly instantiated delegate
instance to an event (though you can if you want). Events support the
def handler(source, args): print 'my_handler called!' # register event handler object.SomeEvent += handler # unregister event handler object.SomeEvent -= handler # fire the event result = object.SomeEvent(...)
You can raise and catch managed exceptions just the same as you would pure-Python exceptions:
from System import NullReferenceException try: raise NullReferenceException("aiieee!") except NullReferenceException, e: print e.Message print e.Source
from System import Array myarray = Array[int](10)
Managed arrays support the standard Python sequence protocols:
items = SomeObject.GetArray() # Get first item v = items items = v # Get last item v = items[-1] items[-1] = v # Get length l = len(items) # Containment test test = v in items
Multidimensional arrays support indexing using the same notation one would use in C#:
items[0, 2] items[0, 2, 3]
Managed arrays and managed objects that implement the IEnumerable interface can be iterated over using the standard iteration Python idioms:
domain = System.AppDomain.CurrentDomain for item in domain.GetAssemblies(): name = item.GetName()
Using COM Components
Using Microsoft-provided tools such as aximp.exe and tlbimp.exe, it is possible to generate managed wrappers for COM libraries. After generating such a wrapper, you can use the libraries from Python just like any other managed code.
Note: currently you need to put the generated wrappers in the GAC, in the PythonNet assembly directory or on the PYTHONPATH in order to load them.
Type conversion under Python for .NET is fairly straightforward - most elemental Python types (string, int, long, etc.) convert automatically to compatible managed equivalents (String, Int32, etc.) and vice-versa. Note that all strings returned from the CLR are returned as unicode.
Types that do not have a logical equivalent in Python are exposed as instances of managed classes or structs (System.Decimal is an example).
The .NET architecture makes a distinction between
A process called
Understanding boxing and the distinction between value types and reference types can be important when using Python for .NET because the Python language has no value type semantics or syntax - in Python "everything is a reference".
Here is a simple example that demonstrates an issue. If you are an experienced C# programmer, you might write the following code:
items = System.Array.CreateInstance(Point, 3) for i in range(3): items[i] = Point(0, 0) items.X = 1 # won't work!!
While the spelling of
In Python however, "everything's a reference", and there is really no
spelling or semantic to allow it to do the right thing dynamically. The
specific reason that
The rule in Python is essentially: "the result of any attribute or item access is a boxed value", and that can be important in how you approach your code.
Because there are no value type semantics or syntax in Python, you may need to modify your approach. To revisit the previous example, we can ensure that the changes we want to make to an array item aren't "lost" by resetting an array member after making changes to it:
items = System.Array.CreateInstance(Point, 3) for i in range(3): items[i] = Point(0, 0) # This _will_ work. We get 'item' as a boxed copy of the Point # object actually stored in the array. After making our changes # we re-set the array item to update the bits in the array. item = items item.X = 1 items = item
This is not unlike some of the cases you can find in C# where you have
to know about boxing behavior to avoid similar kinds of
This is the same thing, just the manifestation is a little different in Python. See the .NET documentation for more details on boxing and the differences between value types and reference types.
Note: because Python code running under Python for .NET is inherently unverifiable, it runs totally under the radar of the security infrastructure of the CLR so you should restrict use of the Python assembly to trusted code.
The Python runtime assembly defines a number of public classes that provide a subset of the functionality provided by the Python C API.
These classes include PyObject, PyList, PyDict, etc. The source and the unit tests are currently the only API documentation.. The rhythym is very similar to using Python C++ wrapper solutions such as CXX.
At a very high level, to embed Python in your application you will need to:
The module you import can either start working with your managed app environment at the time its imported, or you can explicitly lookup and call objects in a module you import.
For general-purpose information on embedding Python in applications, use www.python.org or Google to find (C) examples. Because Python for .NET is so closely integrated with the managed environment, you will generally be better off importing a module and deferring to Python code as early as possible rather than writing a lot of managed embedding code.
Important Note for embedders: Python is not free-threaded and uses a global interpreter lock to allow multi-threaded applications to interact safely with the Python interpreter. Much more information about this is available in the Python C API documentation on the www.python.org Website.
When embedding Python in a managed application, you have to manage the GIL in just the same way you would when embedding Python in a C or C++ application.
Before interacting with any of the objects or APIs provided by the
Python.Runtime namespace, calling code must have acquired the Python
global interpreter lock by calling the
When finished using Python APIs, managed code must call a corresponding
The AcquireLock and ReleaseLock methods are thin wrappers over the
Python for .NET is released under the open source Zope Public License (ZPL). A copy of the ZPL is included in the distribution, or you can find a copy of the ZPL online . Some distributions of this package include a copy of the C Python dlls and standard library, which are covered by the Python license .