[Python.NET] PyData Seattle, Microsoft - Python for .NET or .NET for Python Denis Akhiyarov, Xavier Dupré

[Denis Akhiyarov]

https://pydata.org/seattle2017/schedule/presentation/61/

Python for .NET or .NET for Python
Denis Akhiyarov, Xavier Dupré

Audience level:
Intermediate
Description
For long time .NET developers wanted to tap into the rich libraries from
SciPy and PyData communities. Bridging .NET and CPython runtimes is the
easiest approach to solving this problem! Python for .NET (pythonnet,
Python.NET) makes this possible by wrapping CPython C-API from C# in .NET
and Mono runtimes. This also allows two-way inter-operability between both
runtimes on Windows, Linux, and OSX.

Abstract
For long time .NET developers wanted to tap into the rich libraries from
SciPy and PyData communities. Bridging .NET and CPython runtimes is the
easiest approach to solving this problem. Python for .NET (pythonnet,
Python.NET) makes this possible by wrapping CPython C-API from C# in .NET
and Mono runtimes. This also allows two-way interoperability between both
runtimes on Windows, Linux, and OSX (MacOS), and even Linux subsystem on
Windows! This presentation is going to show how to use Python code from
.NET and .NET assemblies from Python. Particular importance in Python.NET
is given to installation options: Python wheels, conda and nuget binaries,
docker images, and even distribution with WinPython. The deployment is also
simplified with tools such as PyInstaller and cx_freeze. This presentation
will show how to install and deploy Python.NET apps using these tools. In
this talk we are going to show how to call numpy, scipy, pandas,
matplotlib, sympy, and pyomo from .NET without much boilerplate code. The
second part will show how to use .NET from Python, particularly C# magic
cells (clrmagic) in ipython kernel with Jupyter Notebooks. The Python.NET
tutorial was converted to Jupyter Notebook and C# code cells that are
embedded within the same notebook. This presentation will show few demos
with REPL experience both from C# and Python using IPython, scriptcs, and
Visual Studio. All libraries used in this presentation are open-source and
available on all major platforms. Python for .NET is a library developed
since 2003, which "graduated" from Zope, moved to SourceForge and
eventually to GitHub, where it became widely used and adopted. This talk
will also demonstrate clrmagic - Jupyter extension, built on top of
pythonnet and developed by authors of this presentation. Python.NET is
built with a number of open-source technologies. It uses pycparser, ply,
and clang (gcc and MSVC also work) for parsing internal CPython structures.
.NET types are exposed to Python with Unmanaged Exports (DllExport)
open-source "compiler" on Windows. On other platforms, C-API of Mono and
CPython are used to "bootstrap" both runtimes. Python.NET is used by
financial algorithmic trading platforms, engineering companies, and few
open-source projects: QuantConnect Lean, pywebview, Pybee Beeware Toga
cross-platform UI toolkit. Python.NET enables large .NET applications to
embed numerical Python libraries without boilerplate code and without
sacrificing for performance.
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