IronPython, Accord.NET, and LINQ expressions

iron-accord-linq

# Import C# CLR interface and system
import clr, sys

# Add C# Library Paths and add references via CLR module
sys.path.append('C:\\Program Files (x86)\\Accord.NET\\Framework\\Release\\net40')
sys.path.append('C:\\Program Files (x86)\\AForge.NET\\Framework\\Release')
clr.AddReference('System.Core')
clr.AddReference('AForge.Math')
clr.AddReference('Accord.Statistics')
clr.AddReference('System.Linq')

# Import previously referenced C# libraries like first-class Python modules
import System
import AForge.Math                                  # Accord.NET depends on this module to work correctly 
import System.Linq
import Accord.Statistics as s

clr.ImportExtensions(System.Linq)                   # Import LINQ extension methods (to enable "fluent syntax")
d = s.Distributions.Univariate                      # Easy reference for distributions

# SAMPLE
# Generate a random sample from a Standard Normal distribution
sample_size = 10000
sample = d.NormalDistribution.Standard.Generate(sample_size)

# QUERY
# Query the sample using LINQ expressions!
# This calculation takes the average of the square of observations greater than zero
sample.Where(lambda n: n > 0).Select(lambda n: n**2).Cast[float]().Average()