This document discusses iterators and generators in Python. It defines iterators as objects that allow traversal through elements of a collection and defines the iterator protocol. Generators are introduced as special routines that control loop iteration behavior by yielding one value at a time. Examples of using iterators, generators, and the yield statement are provided. The document is prepared by trainees of Baabtra as part of a mentoring program and is not an official Baabtra document.

2. Disclaimer: This presentation is prepared
by trainees of baabtra as a part of
mentoring program. This is not official
document of baabtra –Mentoring Partner
Baabtra-Mentoring Partner is the mentoring division of baabte System
Technologies Pvt . Ltd

3. Week Targ
et
Achieve
d
1 23 19
2 25 23
3 30 27
4 35
Typing Speed

4. Jobs Applied
# Company Designation Applied
Date
Current
Status
1 Skillsearch
Limited
Junior software
engineer
7/08/2013
2
3

5. Iterators and
Generators in python
●
Shameena
●
shameenavayoli@gmail.com
●
www.facebook.com/shameenalatheef
●
twitter.com/shameena
●
in.linkedin.com/in/shamean
●
9567135569

6. Iterator is an object which allows a programmer to
traverse through all the elements of a collection
iterator is an object which implements the iterator
protocol
The iterator protocol consists of two methods.
1) __iter__()::return the iterator object
2) next():: returns the next element from a sequence.

7. ●
An iterator is typically something that has
a next method to get the next element
from a stream
●
An iterator traverses a collection one at a
time.
●

8. ●
All of the common containers
(list,tuple,dict) respond to iter() function by
returning an iterator over the item in the
container
●

9. str = "formidable"
for i in str:
print i,
print
it = iter(str)
print it.next()
print it.next()
print it.next()
print list(it)
Output:
f o r m i d a b l e
f
o
r
['m', 'i', 'd', 'a', 'b', 'l',
'e']

10. Generators
● generator is a special routine that can be
used to control the iteration behaviour of a
loop.
● a generator yields one value at a time
Every generator is an iterator but not vice versa.
A generator is built by calling a function that has one or
more yield expressions

11. A generator looks like a conventional function, with
one important difference: a generator includes
the yield statement

12. ● When a stop iteration is raised it is handled by for
statement as a normal termination of the loop
●
Example:Example:
def printName(name):
for section in name.split(' '):
yield section
for section in printName("Guido van Rossum"):
print section

13. Output:

14. If this presentation helped you, please
visit our page facebook.com/baabtra and
like it.
Thanks in advance.
www.baabtra.com | www.massbaab.com |
www.baabte.com

15. Contact Us
Emarald Mall (Big
Bazar Building)
Mavoor Road,
Kozhikode,
Kerala, India.
Ph: + 91 – 495 40 25
550
NC Complex,
Near Bus
Stand
Mukkam,
Kozhikode,
Kerala, India.
Ph: + 91 –
495 40 25
550
Start up Village
Eranakulam,
Kerala, India.
Email:
info@baabtra.com