Python Programming | JNTUA | UNIT 3 | Lists |
2 likes262 views
This document contains summaries of several lectures about Python lists. It discusses how lists are sequences that can be indexed and traversed, are mutable unlike strings, and how list operations like slicing, methods, filtering and mapping can be used. It also covers deleting list elements, converting strings to lists, aliasing, passing lists as arguments and checking object references.
![List is a sequence
• List is a sequence of
elements (items) of
any type.
• Create a new list by
using [ ] .](https://image.slidesharecdn.com/pythonl23-l26-210601072806/85/Python-Programming-JNTUA-UNIT-3-Lists-5-320.jpg)
![Map, filter & reduce
my_pets = ['alfred', 'tabitha', 'william', 'arla’]
uppered_pets = []
for pet in my_pets:
pet_ = pet.upper()
uppered_pets.append(pet_)
print(uppered_pets)
my_pets = ['alfred', 'tabitha', 'william', 'arla’]
uppered_pets = list(map(str.upper,my_pets))
print(uppered_pets)](https://image.slidesharecdn.com/pythonl23-l26-210601072806/85/Python-Programming-JNTUA-UNIT-3-Lists-25-320.jpg)
![Map, filter & reduce
scores = [66, 90, 68, 59, 76, 60, 88, 74, 81, 65]
def is_A_student(score):
return score > 75
over_75 = list(filter(is_A_student, scores))
print(over_75)
scores = [66, 90, 68, 59, 76, 60, 88, 74, 81, 65]
over_75 = list(filter(lambda x: x >75, scores))
print(over_75)](https://image.slidesharecdn.com/pythonl23-l26-210601072806/85/Python-Programming-JNTUA-UNIT-3-Lists-26-320.jpg)
![Map, filter & reduce
from functools import reduce
numbers = [3, 4, 6, 9, 34, 12]
def custom_sum(first, second):
return first + second
result = reduce(custom_sum, numbers)
print(result)](https://image.slidesharecdn.com/pythonl23-l26-210601072806/85/Python-Programming-JNTUA-UNIT-3-Lists-27-320.jpg)
Python Programming | JNTUA | UNIT 3 | Lists |
- 1. Python Programming Unit – III (Part IV) (Lecture 23) Lists
- 2. Python Programming Unit – III (Part IV) (Lecture 23) Lists List is a sequence Lists are mutable Traversing a list
- 3. Lists Lecture 23 List is a sequence Lists are mutable List slices List methods List operations Traversing a list Deleting elements Lists and Strings Map filter & reduce Aliasing List arguments Objects and values Lecture 25 Lecture 24 Lecture 26
- 4. Lists Lecture 23 List is a sequence Lists are mutable Traversing a list
- 5. List is a sequence • List is a sequence of elements (items) of any type. • Create a new list by using [ ] .
- 6. Lists Lecture 23 List is a sequence Lists are mutable Traversing a list
- 7. Lists are mutable • Unlike strings, lists are mutable. • Index is applied same as strings.
- 8. Lists Lecture 23 List is a sequence Lists are mutable Traversing a list
- 9. Traversing a list • Traverse the elements of a list using for loop.
- 10. Lists Lecture 23 List is a sequence Lists are mutable Traversing a list
- 11. Python Programming Unit – III (Part IV) (Lecture 24) Lists
- 12. Python Programming Unit – III (Part IV) (Lecture 24) Lists List slices List methods List operations
- 13. Lists Lecture 23 List is a sequence Lists are mutable List slices List methods List operations Traversing a list Deleting elements Lists and Strings Map filter & reduce Aliasing List arguments Objects and values Lecture 25 Lecture 24 Lecture 26
- 14. Lists Lecture 24 List slices List methods List operations
- 15. List operations
- 16. Lists Lecture 24 List slices List methods List operations
- 17. List slices
- 18. Lists Lecture 24 List slices List methods List operations
- 19. List methods
- 20. Lists Lecture 24 List slices List methods List operations
- 21. Python Programming Unit – III (Part IV) (Lecture 25) Lists
- 22. Python Programming Unit – III (Part IV) (Lecture 25) Lists Deleting elements Lists and Strings Map, filter & reduce
- 23. Lists Lecture 23 List is a sequence Lists are mutable List slices List methods List operations Traversing a list Deleting elements Lists and Strings Map, filter & reduce Aliasing List arguments Objects and values Lecture 25 Lecture 24 Lecture 26
- 24. Lists Deleting elements Lists and Strings Map, filter & reduce Lecture 25
- 25. Map, filter & reduce my_pets = ['alfred', 'tabitha', 'william', 'arla’] uppered_pets = [] for pet in my_pets: pet_ = pet.upper() uppered_pets.append(pet_) print(uppered_pets) my_pets = ['alfred', 'tabitha', 'william', 'arla’] uppered_pets = list(map(str.upper,my_pets)) print(uppered_pets)
- 26. Map, filter & reduce scores = [66, 90, 68, 59, 76, 60, 88, 74, 81, 65] def is_A_student(score): return score > 75 over_75 = list(filter(is_A_student, scores)) print(over_75) scores = [66, 90, 68, 59, 76, 60, 88, 74, 81, 65] over_75 = list(filter(lambda x: x >75, scores)) print(over_75)
- 27. Map, filter & reduce from functools import reduce numbers = [3, 4, 6, 9, 34, 12] def custom_sum(first, second): return first + second result = reduce(custom_sum, numbers) print(result)
- 28. Lists Deleting elements Lists and Strings Map, filter & reduce Lecture 25
- 30. Lists Deleting elements Lists and Strings Map, filter & reduce Lecture 25
- 31. Lists and Strings To convert from a string to a list of characters, you can use list.
- 32. Lists Deleting elements Lists and Strings Map, filter & reduce Lecture 25
- 33. Python Programming Unit – III (Part IV) (Lecture 26) Lists
- 34. Python Programming Unit – III (Part IV) (Lecture 26) Lists Aliasing List arguments Objects and values
- 35. Lists Lecture 23 List is a sequence Lists are mutable List slices List methods List operations Traversing a list Deleting elements Lists and Strings Map, filter & reduce Aliasing List arguments Objects and values Lecture 25 Lecture 24 Lecture 26
- 37. Objects and values To check whether two variables refer to the same object, you can use the is operator.
- 38. Objects and values To check whether two variables refer to the same object, you can use the is operator.
- 40. Aliasing
- 42. List arguments
- 43. List arguments