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ICE Princess25 [194]
1 year ago
9

1. A pure aggregator is best defined as a blog that

Computers and Technology
1 answer:
miss Akunina [59]1 year ago
5 0
A pure aggregator is best defined as a blog that aggregates blog content from other sources.

An Aggregator blog or website don't write its own content. It aggregates information or content from third-party websites. There are different types of aggregator websites such as a poll aggregator, a review aggregator, and a search aggregator.
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(Displaying a Sentence with Its Words Reversed) Write an application that inputs a line of text, tokenizes the line with String
Serjik [45]

Answer:

I am writing a JAVA and Python program. Let me know if you want the program in some other programming language.

import java.util.Scanner; // class for taking input from user

public class Reverse{ //class to reverse a sentence

public static void main(String[] args) { //start of main() function body

Scanner input = new Scanner(System.in); //create a Scanner class object

   System.out.print("Enter a sentence: "); //prompts user to enter a sentence

   String sentence = input.nextLine(); // scans and reads input sentence

   String[] tokens = sentence.split(" "); // split the sentence into tokens using split() method and a space as delimiter

   for (int i = tokens.length - 1; i >= 0; i--) { //loop that iterates through the tokens of the sentence in reverse order

       System.out.println(tokens[i]); } } } // print the sentence tokens in reverse order

Explanation:

In JAVA program the user is asked to input a sentence. The sentence is then broken into tokens using split() method. split method returns an array of strings after splitting or breaking the sentence based on the delimiter. Here the delimiter used is space characters. So split() method splits the sentence into tokens based on the space as delimiter to separate the words in the sentence. Next the for loop is used to iterate through the tokens as following:

Suppose the input sentence is "How are you"

After split() method it becomes:

How

are

you

Next the loop has a variable i which initialized to the tokens.length-1. This loop will continue to execute till the value of i remains greater than or equals to 0.

for (int i = tokens.length - 1; i >= 0; i--)

The length of first token i.e you is 3 so the loop executes and prints the word you.

Then at next iteration the value of i is decremented by 1 and now it points at the token are and prints the word are

Next iteration the value of i is again decremented by i and it prints the word How.

This can be achieved in Python as:

def reverse(sentence):

   rev_tokens = ' '.join(reversed(sentence.split(' ')))

   return rev_tokens

   

line = input("enter a sentence: ")

print((reverse(line)))

The method reverse takes a sentence as parameter. Then rev_tokens = ' '.join(reversed(sentence.split(' ')))  statement first splits the sentence into array of words/tokens using space as a delimiter. Next reversed() method returns the reversed sentence.  Next the join() method join the reversed words of the sentence using a space separator ' '.join(). If you want to represent the reversed tokens each in a separate line then change the above statement as follows:

rev_tokens = '\n'.join(reversed(sentence.split(' ')))  

Here the join method joins the reversed words separating them with a new line.

Simply input a line of text and call this reverse() method by passing the input line to it.

4 0
1 year ago
A bicycle sharing company is developing a multi-tier architecture to track the location of its bicycles during peak operating ho
fgiga [73]

Answer:

d use Amazon API Gateway with Amazon kinesis...

5 0
2 years ago
A time-saving strategy that helps define unfamiliar words involves using
yuradex [85]

The correct answer is A. Familiar words for clues

Explanation:

Finding unfamiliar words is common while reading, especially in texts that belong to a specific field such as medicine, technology, etc. This can be handled through multiple strategies such as using a dictionary, guessing the meaning of the word based on its parts, and using context clues.

In this context, one of the easiest and most time-saving strategy is the use of context clues that implies using the familiar words as clues to guess the meaning of an unfamiliar word. This is effective because in most cases the meaning of an unknown word can be determined using the context of the word or words around the unknown word. Also, this strategy takes little time because you only need to analyze the sentence or paragraph where the unknown word is. Thus, the time-saving strategy to define unfamiliar words involves using familiar words for clues.

6 0
1 year ago
Read 2 more answers
George is working with an image in Photoshop. He added a lot of effects to the image. He saved the first draft of the file. The
Alja [10]

Answer:

JPEG, PDF

Explanation:

3 0
2 years ago
Read 2 more answers
Consider the following relation:CAR_SALE(Car#, Date_sold, Salesperson#, Commission%, Discount_amt)Assume that a car may be sold
GalinKa [24]

Answer:

The answer to this question can be given as:

Normalization:

Normalization usually includes the division of a table into two or more tables as well as defining a relation between the table. It is also used to check the quality of the database design. In the normalization, we use three-level that are 1NF, 2NF, 3NF.

First Normal Form (1NF):

In the 1NF each table contains unique data. for example employee id.  

Second Normal Form (2NF):

In the 2NF form, every field in a table that is not a determiner of another field's contents must itself be a component of the table's other fields.

Third Normal Form (3NF):

In the 3NF form, no duplication of information is allowed.

Explanation:

The explanation of the question can be given as:

  • Since all attribute values are single atomic, the given relation CAR_SALE is in 1NF.  
  • Salesperson# → commission% …Given  Thus, it is not completely dependent on the primary key {Car#, Salesperson#}. Hence, it is not in 2 NF.                                                                                                        

The 2 NF decomposition:

        CAR_SALE_1(Car#, Salesperson#, Date_sold, Discount_amt)

         CAR_SALE_2(Salesperson#, Commission%)

  • The relationship in question is not in 3NF because the nature of a transitive dependence occurs
  • Discount_amt → Date_sold → (Car#, Salesperson#) . Thus, Date_sold is neither the key itself nor the Discount amt sub-set is a prime attribute.  

The 3 NF decomposition :

        CAR_SALES_1A(Car#, Salesperson#, Date_sold)

        CAR_SALES_1B(Date_sold, Discount_amt)

        CAR_SALE_3(Salesperson#, Commission%)

5 0
1 year ago
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