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
Yes very much so! You could learn previous mistakes/bugs/etc and find solutions to fixing them and avoiding getting them. As well as much more. History is always a fun subject for anything, really in my opinion.
Answer:
A: used by ISP's to filter out email SPAM
C: a way to help an individual focus on best choices when deciding what to watch or buy.
Explanation:
Collaborative filtering uses a community-based approach to filter spam. It works by collecting numerous email users from around the world. By doing this, it becomes possible for users to flag emails that are spam and those that are legitimate.
Also Collaborative Filtering is one of the most efficient techniques for building a system that can help a user when it comes to recommending best choices based on information from a large number of users.
The tab keys are used to advance the cursor to the next tab stop.
