91 Day 91 - Generators in Python.py

'''Generators in Python: Generators in Python are special type of functions that allow you to create an iterable sequence of values. A generator function returns a generator object, which can be used to generate the values one-by-one as you iterate over it. Generators are a powerful tool for working with large or complex data sets, as they allow you to generate the values on-the-fly, rather than having to create and store the entire sequence in memory.
Creating a Generator: In Python, you can create a generator by using the 'yield' statement in a function. The 'yield' statement returns a value from the generator and suspends the execution of the function until the next value is requested.'''

def my_generator():
    for i in range(50):
      # Complex computations
      yield i

gen = my_generator()
# print(next(gen))
# print(next(gen))
# print(next(gen))

for j in  gen:
  print(j)