#Generators in Python

A generator in Python is a special type of iterator that produces values one at a time using a certain formula, instead of storing multiple values like a list. This allows for better memory efficiency.

#Generator Function

A generator function uses the yield statement instead of return to return values. When the function is called, it doesn’t execute immediately, but instead returns a generator object.

Each time the generator is iterated, the function runs until it hits a yield statement, at which point it returns a value. On the next iteration, execution resumes just after the yield statement, not from the beginning of the function.

Example:

# Generator function
def count_up_to(max):
    count = 1           # Initialize starting at 1
    while count <= max:
        yield count     # Returns count each time next() is called
        count += 1

# Create generator object
counter = count_up_to(10)

# Using the generator
print(next(counter))  # Output: 1
print(next(counter))  # Output: 2
print(next(counter))  # Output: 3

for value in counter:
    print(value)       # Output remaining values

>>> Establishing WebAssembly Runtime.

>>> Standby.

#Generator Expression

Similar to container comprehensions, generators can also be created using generator expressions. A generator expression is a looping expression enclosed in parentheses () that yields values one at a time.

# Generator expression
numbers: tuple[int] = (x**2 for x in range(10))

print(numbers)

for value in numbers:
    print(value)

>>> Establishing WebAssembly Runtime.

>>> Standby.