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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 https
Step1:  for Statements
Step2:  The range() Function
Step3:  In many ways the object returned by range() behaves as if it is a list, but in fact it isn’t. It is an object which returns the successive items of the desired sequence when you iterate over it, but it doesn’t really make the list, thus saving space.
We say such an object is iterable, that is, suitable as a target for functions and constructs that expect something from which they can obtain successive items until the supply is exhausted. We have seen that the for statement is such an iterator. The function list() is another; it creates lists from iterables
Step4:  break and continue Statements, and else Cluases on Loops
Step5:  pass Statements
Step6:  Note
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Python Code:
x = int(input("Please enter an integer: "))
x
if x < 0:
    x = 0
    print('Negative changed to zero')
elif x == 0:
    print('Zero')
elif x == 1:
    print('Single')
else:
    print('More')
Explanation: https://docs.python.org/3.7/tutorial/controlflow.html
if Statements
End of explanation
# Measure some strings:
words = ['cat', 'window', 'defenestrate']
for w in words:
    print(w, len(w))
for w in words[:]:
    if len(w) > 6:
        words.insert(0, w)
words
Explanation: for Statements
End of explanation
for i in range(5):
    print(i)
list(range(5, 10))
list(range(0, 10, 3))
list(range(-10, -100, -30))
a = ['Mary', 'had', 'a', 'little', 'lamb']
for i in range(len(a)):
    print(i, a[i])
range(10)
type(range(10))
r1 = range(2)
dir(r1)
iter(r1)
ir1 = iter(r1)
dir(ir1)
next(ir1)
next(ir1)
next(ir1)
Explanation: The range() Function
End of explanation
list(range(2))
Explanation: In many ways the object returned by range() behaves as if it is a list, but in fact it isn’t. It is an object which returns the successive items of the desired sequence when you iterate over it, but it doesn’t really make the list, thus saving space.
We say such an object is iterable, that is, suitable as a target for functions and constructs that expect something from which they can obtain successive items until the supply is exhausted. We have seen that the for statement is such an iterator. The function list() is another; it creates lists from iterables:
End of explanation
for n in range(2, 10):
    for x in range(2, n):
        if n % x == 0:
            print("{0} equals {1} * {2}".format(n, x, n//x))
            break
    else:
        # loop fell through without finding a factor
        print(n, ' is a prime number')
for num in range(2, 10):
    if num % 2 == 0:
        print("Found an even number", num)
        continue
    print("Found a number", num)
Explanation: break and continue Statements, and else Cluases on Loops
End of explanation
while True:
    pass
Explanation: pass Statements
End of explanation
class MyEmptyClass:
    pass
def initlog(*args):
    pass  ## TODO: To implement this!
Explanation: Note
Press I, I to interrupt the ipython kernel
End of explanation
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