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2 years ago

The file format is used for graphic files.

Computers and Technology

1 answer:

Vesna [10]2 years ago

8 0

Answer:

.GIF

Explanation:

GIF or Graphics Interchange Format files are widely used for web graphics, because they are limited to only 256 colors, can allow for transparency, and can be animated. GIF files are typically small is size and are very portable.

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Rows within a spreadsheet are identified by:

EleoNora [17]

Answer:

Option C: Numbers.

Explanation:

By default, rows within a spreadsheet are identified by Numbers i.e. 1,2,3,............

Total rows are 1048575 in one spreadsheet.

7 0

2 years ago

Assume that you have 22 slices of pizza and 7 friends that are going to share it (you've already eaten). There's been some argum

xz_007 [3.2K]

Answer:

In Python:

numberOfWholeSlices = int(22/7)

print(numberOfWholeSlices )

Explanation:

For each friend to get a whole number of slices, we need to make use of the int function to get the integer result when the number of slices is divided by the number of people.

So, the number of slice is: 22/7

In python, the expression when assigned to numberOfWholeSlices is:

numberOfWholeSlices = int(22/7)

Next, is to print the calculated number of slices

print(numberOfWholeSlices )

4 0

2 years ago

Write a Python 3 program to read from a .csv file containing rates from power companies. Your program should determine the avera

aliya0001 [1]

Answer:

In python:

file = open("rates.csv", "r")

ratecount = 0

ratesum = 0

mylist = []

rates = file.readlines()

for nums in rates:

num = nums.rstrip('\n')

mylist.append(int(num))

for i in num:

ratesum= ratesum + int(i)

ratecount = ratecount + 1

print("Maximum Rate: "+str(max(mylist)))

print("Minimum Rate: "+str(min(mylist)))

print("Average Rate: "+str(ratesum/ratecount))

Explanation:

This opens the csv file

file = open("rates.csv", "r")

This initializes the number of rates in the file

ratecount = 0

This initializes the sum of the rates

ratesum = 0

This initializes an empty list

mylist = []

This reads the rates into lines

rates = file.readlines()

This iterates through the rates (as a string)

for nums in rates:

This removes the newline character \n in the rates

num = nums.rstrip('\n')

This appends the rates (as an integer) to the empty list

mylist.append(int(num))

The following counts the rates in the file and also sum them up

for i in num:

ratesum= ratesum + int(i)

ratecount = ratecount + 1

This prints the maximum of the rates

print("Maximum Rate: "+str(max(mylist)))

This prints the minimum of the rates

print("Minimum Rate: "+str(min(mylist)))

This calculates and prints the average rate

print("Average Rate: "+str(ratesum/ratecount))

6 0

2 years ago

A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info

Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

7 0

2 years ago

Who is Carl Thompson?

pishuonlain [190]

Carl Thompson was a well know Jazz player back in the mid 1900s

7 0

2 years ago