text_plain_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import tree
from sklearn.metrics import accuracy_score
sns.set()
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))