# This Julia environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/julia docker image: https://github.com/kaggle/docker-julia
# For example, here's a helpful package to load in 

using DataFrames # data processing, CSV file I/O - e.g. readtable("../input/MyTable.csv")

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory

stuff = time()
println("Iniciado em", stuff)
readtable("../input/train.csv")
println("Lido train em, ", time() - stuff)
readtable("../input/test.csv")
println("Lido test em, ",  time() - stuff)

# Any results you write to the current directory are saved as output.