Answer:
sentence = "hello wow a stores good"
same_letter_count = 0
sentence_list = sentence.split()
for s in sentence_list:
if s[0] == s[-1]:
same_letter_count += 1
print(same_letter_count)
Explanation:
*The code is in Python.
Initialize the sentence with a string
Initialize the same_letter_count as 0
Split the sentence using split method and set it to the sentence_list
Create a for loop that iterates through the sentence_list. If the first and last of the letters of a string are same, increment the same_letter_count by 1
When the loop is done, print the same_letter_count
Answer:
b. Code an include preprocessor directives for the members
Explanation:
Namespace in programming can be defined as the declarative region which provides scope for the identifiers such as the functions, name of the types, variables, etc.
The namespaces are 
the code into the logical groups and also used to prevent the name collision.
The ways that can be used outside the namespace 
as :
-- the code used the fully qualifies name
-- by using the declaration to bring one of the identifier into the scope
-- by using the directive to bring all the things in the newspaper into the scope.
Thus the correct option is (b).
Explanation:
It's placed near the door. When a visitor presses the button, the bell rings inside alerting you that someone is at the door.
Answer:
polynomial-bounded algorithms
Explanation:
There are two algorithm complexities and they are time and space complexities. They can be denoted with the big-O notation. The big-o notation for a time and space complexity gets the worst-case time and space respectively.
The time complexity gets the measure of the execution time of an algorithm. When the time function is a polynomial ( k^n + k^n-1 ...) then the algorithm is said to be a polynomial-bounded algorithm.
