Sequence Types in Python Programming

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The document provides an overview of three sequence types in Python: tuples, lists, and strings. It highlights their characteristics, such as immutability for tuples and strings, and mutability for lists, while also explaining operations like indexing, slicing, and concatenation. Examples are included to demonstrate how to define and manipulate each sequence type.

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Sequence types: Tuples,
Lists, and Strings
M.BOBBY
ASSISTANT PROFESSOR & HEAD,
DEPARTMENT OF COMPUTER SCIENCE
SRI ADI CHUNCHANAGIRI WOMEN’S COLLEGE, CUMBUM

Sequence Types
1. Tuple: (‘john’, 32, [CMSC])
 A simple immutable ordered sequence of items
 Items can be of mixed types, including collection types
2. Strings: “John Smith”
◦ Immutable
◦ Conceptually very much like a tuple
3. List: [1, 2, ‘john’, (‘up’, ‘down’)]
 Mutable ordered sequence of items of mixed types

Similar Syntax
All three sequence types (tuples, strings, and lists) share much
of the same syntax and functionality.
Key difference:
◦Tuples and strings are immutable
◦ Lists are mutable
The operations shown in this section can be applied to all
sequence types
◦most examples will just show the operation performed on one

Sequence Types 1
Define tuples using parentheses and commas
>>> tu = (23, ‘abc’, 4.56, (2,3), ‘def’)
Define lists are using square brackets and commas
>>> li = [“abc”, 34, 4.34, 23]
Define strings using quotes (“, ‘, or “““).
>>> st = “Hello World”
>>> st = ‘Hello World’
>>> st = “““This is a multi-line
string that uses triple quotes.”””

Sequence Types 2
Access individual members of a tuple, list, or string using square bracket “array” notation
Note that all are 0 based…
>>> tu = (23, ‘abc’, 4.56, (2,3), ‘def’)
>>> tu[1] # Second item in the tuple.
‘abc’
>>> li = [“abc”, 34, 4.34, 23]
>>> li[1] # Second item in the list.
34
>>> st = “Hello World”
>>> st[1] # Second character in string.
‘e’

Positive and negative indices
>>> t = (23, ‘abc’, 4.56, (2,3), ‘def’)
Positive index: count from the left, starting with 0
>>> t[1]
‘abc’
Negative index: count from right, starting with –1
>>> t[-3]
4.56

Slicing: return copy of a subset
>>> t = (23, ‘abc’, 4.56, (2,3), ‘def’)
Return a copy of the container with a subset of the original members. Start copying at
the first index, and stop copying before second.
>>> t[1:4]
(‘abc’, 4.56, (2,3))
Negative indices count from end
>>> t[1:-1]
(‘abc’, 4.56, (2,3))

Slicing: return copy of a =subset
>>> t = (23, ‘abc’, 4.56, (2,3), ‘def’)
Omit first index to make copy starting from beginning of the container
>>> t[:2]
(23, ‘abc’)
Omit second index to make copy starting at first index and going to end
>>> t[2:]
(4.56, (2,3), ‘def’)

Copying the Whole Sequence
[ : ] makes a copy of an entire sequence
>>> t[:]
(23, ‘abc’, 4.56, (2,3), ‘def’)
Note the difference between these two lines for mutable sequences
>>> l2 = l1 # Both refer to 1 ref,
# changing one affects both
>>> l2 = l1[:] # Independent copies, two refs

The ‘in’ Operator
Boolean test whether a value is inside a container:
>>> t = [1, 2, 4, 5]
>>> 3 in t
False
>>> 4 in t
True
>>> 4 not in t
False
For strings, tests for substrings
>>> a = 'abcde'
>>> 'c' in a
True
>>> 'cd' in a
True
>>> 'ac' in a
False
Be careful: the in keyword is also used in the syntax of for loops and list comprehensions

The + Operator
The + operator produces a new tuple, list, or string whose value is the concatenation of its arguments.
>>> (1, 2, 3) + (4, 5, 6)
(1, 2, 3, 4, 5, 6)
>>> [1, 2, 3] + [4, 5, 6]
[1, 2, 3, 4, 5, 6]
>>> “Hello” + “ ” + “World”
‘Hello World’

The * Operator
The * operator produces a new tuple, list, or string that “repeats” the original content.
>>> (1, 2, 3) * 3
(1, 2, 3, 1, 2, 3, 1, 2, 3)
>>> [1, 2, 3] * 3
[1, 2, 3, 1, 2, 3, 1, 2, 3]
>>> “Hello” * 3
‘HelloHelloHello’

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Sequence Types in Python Programming

1. Sequence types: Tuples, Lists, and Strings M.BOBBY ASSISTANT PROFESSOR & HEAD, DEPARTMENT OF COMPUTER SCIENCE SRI ADI CHUNCHANAGIRI WOMEN’S COLLEGE, CUMBUM

2. Sequence Types 1. Tuple: (‘john’, 32, [CMSC])  A simple immutable ordered sequence of items  Items can be of mixed types, including collection types 2. Strings: “John Smith” ◦ Immutable ◦ Conceptually very much like a tuple 3. List: [1, 2, ‘john’, (‘up’, ‘down’)]  Mutable ordered sequence of items of mixed types

3. Similar Syntax All three sequence types (tuples, strings, and lists) share much of the same syntax and functionality. Key difference: ◦Tuples and strings are immutable ◦ Lists are mutable The operations shown in this section can be applied to all sequence types ◦most examples will just show the operation performed on one

4. Sequence Types 1 Define tuples using parentheses and commas >>> tu = (23, ‘abc’, 4.56, (2,3), ‘def’) Define lists are using square brackets and commas >>> li = [“abc”, 34, 4.34, 23] Define strings using quotes (“, ‘, or “““). >>> st = “Hello World” >>> st = ‘Hello World’ >>> st = “““This is a multi-line string that uses triple quotes.”””

5. Sequence Types 2 Access individual members of a tuple, list, or string using square bracket “array” notation Note that all are 0 based… >>> tu = (23, ‘abc’, 4.56, (2,3), ‘def’) >>> tu[1] # Second item in the tuple. ‘abc’ >>> li = [“abc”, 34, 4.34, 23] >>> li[1] # Second item in the list. 34 >>> st = “Hello World” >>> st[1] # Second character in string. ‘e’

6. Positive and negative indices >>> t = (23, ‘abc’, 4.56, (2,3), ‘def’) Positive index: count from the left, starting with 0 >>> t[1] ‘abc’ Negative index: count from right, starting with –1 >>> t[-3] 4.56

7. Slicing: return copy of a subset >>> t = (23, ‘abc’, 4.56, (2,3), ‘def’) Return a copy of the container with a subset of the original members. Start copying at the first index, and stop copying before second. >>> t[1:4] (‘abc’, 4.56, (2,3)) Negative indices count from end >>> t[1:-1] (‘abc’, 4.56, (2,3))

8. Slicing: return copy of a =subset >>> t = (23, ‘abc’, 4.56, (2,3), ‘def’) Omit first index to make copy starting from beginning of the container >>> t[:2] (23, ‘abc’) Omit second index to make copy starting at first index and going to end >>> t[2:] (4.56, (2,3), ‘def’)

9. Copying the Whole Sequence [ : ] makes a copy of an entire sequence >>> t[:] (23, ‘abc’, 4.56, (2,3), ‘def’) Note the difference between these two lines for mutable sequences >>> l2 = l1 # Both refer to 1 ref, # changing one affects both >>> l2 = l1[:] # Independent copies, two refs

10. The ‘in’ Operator Boolean test whether a value is inside a container: >>> t = [1, 2, 4, 5] >>> 3 in t False >>> 4 in t True >>> 4 not in t False For strings, tests for substrings >>> a = 'abcde' >>> 'c' in a True >>> 'cd' in a True >>> 'ac' in a False Be careful: the in keyword is also used in the syntax of for loops and list comprehensions

11. The + Operator The + operator produces a new tuple, list, or string whose value is the concatenation of its arguments. >>> (1, 2, 3) + (4, 5, 6) (1, 2, 3, 4, 5, 6) >>> [1, 2, 3] + [4, 5, 6] [1, 2, 3, 4, 5, 6] >>> “Hello” + “ ” + “World” ‘Hello World’

12. The * Operator The * operator produces a new tuple, list, or string that “repeats” the original content. >>> (1, 2, 3) * 3 (1, 2, 3, 1, 2, 3, 1, 2, 3) >>> [1, 2, 3] * 3 [1, 2, 3, 1, 2, 3, 1, 2, 3] >>> “Hello” * 3 ‘HelloHelloHello’

Sequence Types in Python Programming

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