Answer:
Check the explanation
Explanation:
x, y, z = "abc", "15", "boo"
errors = []
try:
x = int(x)
except ValueError:
errors.append('x')
try:
y = int(y)
except ValueError:
errors.append('y')
try:
z = int(z)
except ValueError:
errors.append('z')
if len(errors) == 0:
print(x+y+z)
else:
print('bad value(s) in: ' + ' '.join(errors))
Answer:
couple.py
def couple(s1,s2):
newlist = []
for i in range(len(s1)):
newlist.append([s1[i],s2[i]])
return newlist
s1=[1,2,3]
s2=[4,5,6]
print(couple(s1,s2))
enum.py
def couple(s1,s2):
newlist = []
for i in range(len(s1)):
newlist.append([s1[i],s2[i]])
return newlist
def enumerate(s,start=0):
number_Array=[ i for i in range(start,start+len(s))]
return couple(number_Array,s)
s=[6,1,'a']
print(enumerate(s))
print(enumerate('five',5))
Explanation:
Answer:
Answer is in the attached screenshot.
Explanation:
Using regex to split a given input string via whitespace, then returns the first and last element of the array.
Answer:
Option (3) is the correct answer of this question.
Explanation:
- HCatalog makes available Hive metadata to users of other Hadoop applications, such as Pig, MapReduce and Hive. it offers interfaces for MapReduce and Pig so that users can read data from and write data to the Hive warehouse.
- This means users don't have to care about where or in what format their data is stored. So we know this way that Hcatalog makes sure our data is secure.
- Others option does not belong to Hcatalog so these options are incorrect .