<span>If a attachment is not reliable to open, terrible effects can happen, peradventure it may have a virus or even malware that can destroy a computers software.
To avoid this and stay on the safe side, try the following:-
- Open it in protected view
- Do not save the attachment on your computer
- Look at the author and read the message carefully to make sure it is not biased.
- Open it on a flash-drive </span>
Answer:
import datetime
user = input("Enter date in yyyy,m,d: ").split(",")
int_date = tuple([int(x) for x in user])
year, month, day =int_date
mydate = datetime.datetime(year, month, day)
print(mydate)
x = mydate.strftime("%B %d, %Y was a %A")
print(x)
Explanation:
The datetime python module is used to create date and time objects which makes it easy working with date-time values. The user input is converted to a tuple of integer items, then they are converted to date time objects and parsed to string with the strftime method.
Answer:
cout << setprecision(2)<< fixed << number;
Explanation:
The above statement returns 12.35 as output
Though, the statement can be split to multiple statements; but the question requires the use of a cout statement.
The statement starts by setting precision to 2 using setprecision(2)
This is immediately followed by the fixed manipulator;
The essence of the fixed manipulator is to ensure that the number returns 2 digits after the decimal point;
Using only setprecision(2) in the cout statement will on return the 2 digits (12) before the decimal point.
The fixed manipulator is then followed by the variable to be printed.
See code snippet below
<em>#include <iostream> </em>
<em>#include <iomanip>
</em>
<em>using namespace std; </em>
<em>int main() </em>
<em>{ </em>
<em> // Initializing the double value</em>
<em> double number = 12.3456; </em>
<em> //Print result</em>
<em> cout << setprecision(2)<< fixed << number; </em>
<em> return 0; </em>
<em>} </em>
<em />
Answer:
Neural Networks
Explanation:
Neural networks are networks that mimic the behaviour of the human brain in which they tend to perform a task without been programmed with the task rule, although the neural network are artificial in nature and they often recognize patterns.
Neutral network have cell that enable them to carry out task together in order to produce a desired result and the cell can only solve a little part of tasks.
