# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in 
import numpy as np

m=np.array([1,2,3,4,5,6],'int64')

print(m)

m[m>3]=100

#n=np.where(m>3)

print(m)



print(m[1:4])


n=np.array([[0,1,2],[3,4,5],[6,7,8]],'int32')

print(n)
#print(n[[0:2],[0:3],[0:1]])


for i in range(10):
    print(i)
    
    
    
    
#k=np.array([0,0,0,0,0,0,0,0,0,0,],'int64')    


k=np.empty([10],'int64')
    
print(k)
    
for i in range(10,20):
    k[i-10]=i
    
print(k)