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3 years ago

1.a. EXPLAIN THE TERM LOGGING INTO A EMAIL ACCOUNT

Computers and Technology

1 answer:

liubo4ka [24]3 years ago

4 0

Answer:

The answer to this question is given below in the explanation section.

Explanation:

Logging into an email account:

Logging into email account, that you are trying to login to your email account.

For example, if you want to login to g-mail , you give your user name and password, upon correct user name and password, the email management system will then allow you to login to your account, where you can see your inbox, outbox, and other customized emails.

WRITE DOWN THE STEPS TO LOG IN AN EMAIL ACCOUNT

The following steps are used to log in an email account:

Enter your email account URL in your browser or open the application of email. For example g-mail.
Then enter your username and password
Upon provision of right username and password, email system will direct you to login to your email account.

EXPLAIN THE TERM LOGGING OUT AN EMAIL ACCOUNT

The term logging out from an email account means that you are leaving your email account, and the email management system will ensure that no one tries to access your system and protect it from others. It is same like as you are protecting your files and folders and important data from other users in your system while setting login and logout password.

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Write a function that will sum all of the numbers in a list, ignoring the non-numbers. The function should takes one parameter:

olasank [31]

In python 3.8:

def func(value_list):

lst = [x for x in value_list if type(x) == int or type(x) == float]

return sum(lst)

print(func(["h", "w", 32, 342.23, 'j']))

This is one solution using list comprehensions. I prefer this route because the code is concise.

def func(value_list):

total = 0

for x in value_list:

if type(x) == int or type(x) == float:

total += x

return total

print(func(["h", "w", 32, 342.23, 'j']))

This is the way as described in your problem.

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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

3 years ago