In Python, you can use loops to defer computation and generate a sequence of computations to be executed later. This can be useful when you need to perform the same operation on multiple items in a collection or when you need to generate a sequence of complex computations.

Here's an example of using a loop to generate a sequence of computations:

def square(x):
    return x**2
 
def cube(x):
    return x**3
 
funcs = [square, cube]
 
for i in range(5):
    results = [func(i) for func in funcs]
    print(results)

In this example, we define two functions square and cube that take a number as input and return the square and cube of that number, respectively. We then create a list of functions funcs that includes both square and cube.

We then use a loop to generate a sequence of computations for the numbers 0 through 4. For each value of i, we generate a list of results by applying each function in funcs to i. We then print the list of results.

This loop generates a sequence of computations to be executed later. The actual computations are not performed until the loop is executed. This allows us to defer computation and generate a sequence of complex computations.

Loops can also be used to generate a sequence of computations with multiple inputs. Here's an example:

def add(x, y):
    return x + y
 
def multiply(x, y):
    return x * y
 
funcs = [add, multiply]
 
for i in range(3):
    for j in range(3):
        results = [func(i, j) for func in funcs]
        print(results)

In this example, we define two functions add and multiply that take two numbers as input and return the sum and product of those numbers, respectively. We then create a list of functions funcs that includes both add and multiply.

 

We then use nested loops to generate a sequence of computations for the numbers 0 through 2. For each pair of values (i, j), we generate a list of results by applying each function in funcs to (i, j). We then print the list of results.

Using loops to defer computation can be a powerful tool for generating complex computations and performing the same operation on multiple items in a collection.