import pandas as pd
from urllib import request
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data"
response = request.urlopen(url)
raw = response.read()
f=[]

df = pd.DataFrame(columns=list('abcdefghijklmn'))
#==============================================================================
# df1=pd.DataFrame(raw)
# #==============================================================================
# # print(raw)
# #==============================================================================
# #==============================================================================
# # print(type(raw))
# # for i in raw:
# #     if (i!='\n'):
# #         df.append(i)
# #==============================================================================
# print(df1.head)
# #==============================================================================
# #         
# #==============================================================================
#         
#         
# 
#==============================================================================



print(raw.split('\n'))

58ba9665ef74f335e0cfc158908d5a3b2a911827
<mask token>

<mask token>
print(raw.split('\n'))

<mask token>
url = (
    'https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'
    )
response = request.urlopen(url)
raw = response.read()
f = []
df = pd.DataFrame(columns=list('abcdefghijklmn'))
print(raw.split('\n'))

import pandas as pd
from urllib import request
url = (
    'https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'
    )
response = request.urlopen(url)
raw = response.read()
f = []
df = pd.DataFrame(columns=list('abcdefghijklmn'))
print(raw.split('\n'))

import pandas as pd
from urllib import request
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data"
response = request.urlopen(url)
raw = response.read()
f=[]

df = pd.DataFrame(columns=list('abcdefghijklmn'))
#==============================================================================
# df1=pd.DataFrame(raw)
# #==============================================================================
# # print(raw)
# #==============================================================================
# #==============================================================================
# # print(type(raw))
# # for i in raw:
# #     if (i!='\n'):
# #         df.append(i)
# #==============================================================================
# print(df1.head)
# #==============================================================================
# #         
# #==============================================================================
#         
#         
# 
#==============================================================================



print(raw.split('\n'))
