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UNIT IV
COMPOUND DATA: LISTS, TUPLES, DICTIONARIES
Lists, list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists,
list parameters; Tuples, tuple assignment, tuple as return value; Dictionaries:
operations and methods; advanced list processing - list comprehension, Illustrative
programs: selection sort, insertion sort, merge sort, quick sort.
Lists
 List is an ordered sequence of items. Values in the list are called elements / items.
 It can be written as a list of comma-separated items (values) between square
brackets[ ].
 Items in the lists can be of different data types.
Operations on list:
1. Indexing
2. Slicing
3. Concatenation
4. Repetitions
5. Updating
6. Membership
7. Comparison

operations examples description
create a list >>> a=[2,3,4,5,6,7,8,9,10] in this way we can create a
>>> print(a) list at compile time
[2, 3, 4, 5, 6, 7, 8, 9, 10]
>>> print(a[0]) Accessing the item in the
Indexing 2 position 0
>>> print(a[8]) Accessing the item in the
10 position 8
>>> print(a[-1]) Accessing a last element
10 using negative indexing.
>>> print(a[0:3])
Slicing [2, 3, 4]
>>> print(a[0:]) Printing a part of the list.
[2, 3, 4, 5, 6, 7, 8, 9, 10]

>>>b=[20,30] Adding and printing the
Concatenation >>> print(a+b) items of two lists.
[2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30]
>>> print(b*3) Create a multiple copies of
Repetition [20, 30, 20, 30, 20, 30] the same list.

1 Unit 3:control flow, functions

, >>> print(a[2])
4 Updating the list using
Updating >>> a[2]=100 index value.
>>> print(a)
[2, 3, 100, 5, 6, 7, 8, 9, 10]
>>> a=[2,3,4,5,6,7,8,9,10]
>>> 5 in a
Membership True Returns True if element is
>>> 100 in a present in list. Otherwise
False returns false.
>>> 2 not in a
False
>>> a=[2,3,4,5,6,7,8,9,10]
>>>b=[2,3,4] Returns True if all elements
Comparison
>>> a==b in both elements are same.
False Otherwise returns false
>>> a!=b
True

List slices:
 List slicing is an operation that extracts a subset of elements from an list and
packages them as another list.
Syntax:
Listname[start:stop]
Listname[start:stop:steps]
 default start value is 0
 default stop value is n-1
 [:] this will print the entire list
 [2:2] this will create a empty slice
slices example description
>>> a=[9,8,7,6,5,4]
a[0:3] >>> a[0:3] Printing a part of a list from
[9, 8, 7] 0 to 2.
a[:4] >>> a[:4] Default start value is 0. so
[9, 8, 7, 6] prints from 0 to 3
a[1:] >>> a[1:] default stop value will be
[8, 7, 6, 5, 4] n-1. so prints from 1 to 5
a[:] >>> a[:] Prints the entire list.
[9, 8, 7, 6, 5, 4]

2 Unit 3:control flow, functions

, a[2:2] >>> a[2:2] print an empty slice
[]
a[0:6:2] >>> a[0:6:2] Slicing list values with step
[9, 7, 5] size 2.
a[::-1] >>> a[::-1] Returns reverse of given list
[4, 5, 6, 7, 8, 9] values

List methods:
 Methods used in lists are used to manipulate the data quickly.
 These methods work only on lists.
 They do not work on the other sequence types that are not mutable, that is, the
values they contain cannot be changed, added, or deleted.

syntax:

list name.method name( element/index/list)



syntax example description
1 a.append(element) >>> a=[1,2,3,4,5]
>>> a.append(6) Add an element to
>>> print(a) the end of the list
[1, 2, 3, 4, 5, 6]
2 a.insert(index,element) >>> a.insert(0,0) Insert an item at the
>>> print(a) defined index
[0, 1, 2, 3, 4, 5, 6]
3 a.extend(b) >>> b=[7,8,9] Add all elements of a
>>> a.extend(b) list to the another
>>> print(a) list
[0, 1, 2, 3, 4, 5, 6, 7, 8,9]
4 a.index(element) >>> a.index(8) Returns the index of
8 the first matched
item
5 a.sort() >>> a.sort() Sort items in a list in
>>> print(a) ascending order
[0, 1, 2, 3, 4, 5, 6, 7, 8]
6 a.reverse() >>> a.reverse() Reverse the order of
>>> print(a) items in the list
[8, 7, 6, 5, 4, 3, 2, 1, 0]

3 Unit 3:control flow, functions

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