
IronPython
Python
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, http://www.python.org/ , and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C).
Python Tutorial — Python v2.6.4
One of the major use cases for IronPython is embedding in .NET applications to provide user scripting. The hosting APIs make it easy to experiment with embedding IronPython. Chris Umbel has written up a blog entry demonstrating the IronPython 2.6 hosting API and giving an example of exposing an API to Python scripts from a C# applications. At several points in my .Net development career I've had the need to make an application I wrote scriptable.
Scripting Your .Net Applications with IronPython
Variable sharing between C# and iron python
Extending your C# application with IronPython - berniea
Recently I’ve started messing around with IronPython; IronPython is the first language of a set of languages that rely on the DLR (Dynamic Language Runtime), the DLR is a hosting platform and a dynamic type system, capable of running dynamic languages on top of the CLR. I really like the concept of a dynamic language, although it isn’t such a new concepts, I think it will be revived and gain more audience with the upcoming .Net Framework 4.0. One very useful thing you can do with IronPython (or any other language on top of the DLR) is to use it as an embedded scripting engine in your.Net application. What can we gain from such a scripting engine? I think that in almost every enterprise application project at some point you’ll come to the conclusion that you need extension points in the system. It can be a Rule Engine, a Workflow of some sort or a pluggable User Interface.Using IronPython in WPF to Evaluate Expressions
Introduction This article (and the code) demonstrates how to use the IronPython engine inside of a C# Windows Form application. Several different types of interactions (class in C# accessed from Python, class in Python accessed from C#, etc. are demonstrated). Background IronPython is an implementation of the Python language which runs on the .NET Framework.
Embedding IronPython in a C# Application
ack before version 1.0 of the CLR shipped, Microsoft engaged a variety of commercial and academic organizations to produce languages that ran on .NET; an effort code-named "Project 7." One of those languages was Python for .NET, developed by ActiveState. That worked, but Project 7 discovered that the "speed of the current system is so low as to render the current implementation useless for anything beyond demonstration purposes. 1 " Furthermore, while they blamed some of the performance problems on "the simple implementation of the Python for .NET compiler", they also claimed that "[s]ome of the blame for this slow performance lies in the domain of .NET internals and Reflection::Emit". Largely due to ActiveState's experience, it became conventional wisdom that "[t]he CLI is, by design, not friendly to dynamic languages. 2 " This conclusion caught the attention of Jim Huginin, the original creator of Jython—an implementation of Python for the Java VM.

