Júlio Hoffimann juliohm

## main.jl
# 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

## svm.csv

          
            x1
            x2
            x3
            y

            
              -0.16485239157797732
              -0.2218786857477146
              0.025657251025896506
              1

            
              -0.14138283354447023
              -0.18115496792737906
              -0.08881228951195215
              2

            
              -0.19156671553489246
              -0.21063046433580623
              -0.2917535547111554
              3

            
              -0.279588288598788
              -0.27721378406398256
              0.015351159741035935
              4

            
              -0.3226797091143479
              -0.3261822936012488
              0.10225411867529889
              2

            
              0.36719732717363746
              0.4162419801073728
              0.15575307734063756
              2

            
              -0.2758953203829891
              -0.2474704632695943
              -0.14546736263944215
              2

            
              -0.271400774910694
              -0.26209306422374024
              -0.005437600507968055
              4

            
              -0.4938512097624689
              -0.3518243528882096
              -0.07185283149402386
              3

## values.dat
0.009
0.0043
0.0037
0.004
0.0007
0.0017
0.0067
0.0036
0.0
0.0
	# 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
x1	x2	x3	y
-0.16485239157797732	-0.2218786857477146	0.025657251025896506	1
-0.14138283354447023	-0.18115496792737906	-0.08881228951195215	2
-0.19156671553489246	-0.21063046433580623	-0.2917535547111554	3
-0.279588288598788	-0.27721378406398256	0.015351159741035935	4
-0.3226797091143479	-0.3261822936012488	0.10225411867529889	2
0.36719732717363746	0.4162419801073728	0.15575307734063756	2
-0.2758953203829891	-0.2474704632695943	-0.14546736263944215	2
-0.271400774910694	-0.26209306422374024	-0.005437600507968055	4
-0.4938512097624689	-0.3518243528882096	-0.07185283149402386	3