Júlio Hoffimann juliohm

	1.0	0.0	0.0	0.0	0.8070149814588031	0.12470886455683108	0.031764241419202824	0.036511912565164235	0.8070149814588031	0.12470886455683108	0.031764241419202824	0.036511912565164235	0.657069223056439	0.22198697538503892	0.05646487682484078	0.06447892473368402	0.657069223056439	0.22198697538503892	0.05646487682484078	0.06447892473368402	0.9786038642101239	0.01380097685536435	0.0035201648449449227	0.004074994089566886	0.9786038642101239	0.01380097685536435	0.0035201648449449227	0.004074994089566886	0.9786038642101239	0.01380097685536435	0.0035201648449449227	0.004074994089566886	0.8061747833045722	0.12525297677560365	0.03190259944740716	0.03666964047241832	0.9786038642101239	0.01380097685536435	0.0035201648449449227	0.004074994089566886	0.8061747833045722	0.12525297677560365	0.03190259944740716	0.03666964047241832	0.8061747833045722	0.12525297677560365	0.03190259944740716	0.03666964047241832	0.6567381156453485	0.22220218385091706	0.056519438752903856	0.06454026175083347	0.6567381156453485	0.22220218385091706	0.0565

	# Example adapted from https://github.com/JuliaComputing/JuliaBoxTutorials
	# Assumes that Python and R are also installed in the system

	# let's compare various implementations of the sum(x) function
	x = rand(10^7)
	sum(x) # expected result 5×10⁶

	#------------------------
	# Python implementation
	using PyCall