Answer:
name = input("Enter name: ")
droids = int(input("How many droids you want to meet? "))
wookies = int(input("How many Wookies you want to meet? "))
print(name + " wants to meet " + str(droids) + " droids, and " + str(wookies) + " Wookies")
Explanation:
*The code is in Python.
Ask the user to enter the name, number of the droids and number of the Wookies
Print the name, number of the droids, and number of the Wookies
Note that while getting the input for the droids and wookies, you need to typecast the input the int (Since the values are int). Also, to print these variables, you need to typecast them as string in that format.
Answer:
The function is as follows:
def number_of_pennies(dollars,pennies=0):
return dollars*100+pennies
Explanation:
This defines the function
def number_of_pennies(dollars,pennies=0):
This returns the number of pennies
return dollars*100+pennies
<em>Note that, if the number of pennies is not passed to the function, the function takes it as 0</em>
Out of the ones that you mention, the correct answer should be
<span> Operating system</span>
Answer:
Data redundancy.
Explanation:
A database management system (DBMS) can be defined as a collection of software applications that typically enables computer users to create, store, modify, retrieve and manage data or informations in a database. Generally, it allows computer users to efficiently retrieve and manage their data with an appropriate level of security.
A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.
In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.
Data redundancy is the name of situation where the same data is stored unnecessarily at different places.
Simply stated, data redundancy can be defined as a condition which typically involves storing the same data in multiple storage locations. Thus, data redundancy connotes the unnecessary repetition of the same piece of data (informations) either deliberately or for some specific reasons.
