Python has recently become a widely used general purpose programming language. The output is an embedded Python keyword used to generate generator functions. Its function produces a series of results. It interrupts the execution of the program, returns the result value to the caller and continues with the execution of the last victory. In addition, the output function controls the generated result as a generator object. On the other hand, the return is also an embedded keyword in Python that terminates the function and returns the value to the caller.
In this article, examples are used to illustrate the differences between profitability and return on investment.
Gap between revenues and profitability
Let’s start with the fact that there are many significant differences between performance and profitability. Let’s talk about what it is first.
| Return | Profitability |
| The return operator returns only one value to the caller. | The performance report can return a number of results to the caller as a generating object. |
| The return stops the function, and if there is a cycle, it stops the cycle. This is the last statement to be placed in the position. | This means that local function variables are not overwritten. It suspends execution and returns the value to the caller, just as it continues execution of the program from the last performance report. |
| Logically, the function should only have the return operator. | There may be more than one declaration of performance within the function. |
| The return message can only be performed once. | The performance report can be performed several times. |
| The return ratio is placed in the normal Python function. | The efficiency option converts a normal function into a generator function. |
Example 1: Return vs. recipes
Now let’s look at the difference between performance and cost-effectiveness using examples. In the following example program we have used different return operators. You can see that the running of the program ends after the first answer and that the rest of the code is not executed.
# Program representing the operation of the return controller
# Definition of numeric variable
number1 =10
#Definition of numeric variable
Number2=20
#Create the function to perform arithmetic operations
def mathOP() :
#Calculation of the total value
gives number1+num2
# Difference calculation
Inversion number 1-num2
# Calculation of the multiplication value
Return number1*num2
#Calculation of the department value
Inversion number 1/num2
# Function call
print (mathOP())
Get off.
You can see on the output that the function returns only the first value and that the program is ready.
To perform a similar task with multiple return operators, you need to create four different functions for each type of arithmetic operation.
#Program representing the operation of the return controller
# and defining the variable of number
num1 =10
#Definition of numeric variable
Number2=20
#Create the function to perform arithmetic operations
def sumOP() :
#Calculation of the total value
gives number1+num2
deftractOP() :
# Difference calculation
Inversion number 1-num2
def multi-applicationOP() :
# Calculation of the multiplication value
Return number1*num2
Def DepartmentOP() :
#Calculation of the department value
Inversion number 1/num2
# Call the summation function
print (The value of the sum is: sumOP())
# call the function to subtract
print(The value of the difference is : subtract()
# Print call for multiplication function
(the multiplication value is: …multiplicationOP())
# Call the department function
Print Output (There is a department value : , divisionOP())
Get off.
We can perform these multiple arithmetic operations within a single generator function with multiple output operators.
# Program for displaying the work of the operator of output
# Determination of the number of variables
number1 = 10
#Definition of numeric variable
Number2=20
#Create the function to perform arithmetic operations
def mathOP() :
#Calculation of the total value
Profitability num1+num2
# Difference calculation
Profitability number1-num2
#Calculation of the multiplication value
gives number1*num2
# Calculation of the division value
Efficiency digit1/num2
# Function call
Print (Print values:)
# using the loop to access the values of the generator object
for i in the mathOP() function:
print(i)
Get off.
Example 2: Return vs. recipes
Let’s look at another example of income and profitability reporting. In the example above, we have a list of numbers passed as arguments to the mod() function. We perform a module operation on each list number and check what those numbers are if they are divided by 10 and give zero as a residual value.
We first implement this example in our Python script with the return operator.
#determine a list of numbers
myList= [10,20,25,30,35,40,50].
# Definition of the function for performing the operation of module
def mod(myList) :
for me on my list:
#Control module
if(i%10==0) :
Reimbursement i
print(mod(myList))
Get off.
The return operator returns only the first number to the caller and performs the function.
We now want to implement the same example in our Python script using the output operator.
#determine a list of numbers
myList= [10,20,25,30,35,40,50].
# Definition of the function for performing the operation of module
def mod(myList) :
for me on my list:
#Control module
if(i%10==0) :
# Profit and loss account
Profit and loss account i
on myList for me:
print(i)
Get off.
Conclusion
In short, performance and profitability are the two key words or phrases embedded in Python. The return operator is used to return a value of a function to a caller and terminate the program, while the return operator creates a generator object and can return different values to the caller without terminating the program. In this article, all important differences between performance and return claims are listed with examples.
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