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A multiline string in Python is a string that spans across multiple lines. It allows you to create a string that contains
line breaks and multiple paragraphs without using special characters like \n for newline. Multiline strings are
defined by enclosing the text within triple quotes, either single (''') or double (""") quotes. For example,
'''It is
an interesting
Language'''
✶ Lists: It is a sequence of heterogeneous values arranged as elements and are referred by an index number. These
values are separated by comma and are enclosed in square brackets [ ]. They are mutable data types as the
values of these data types can be changed by the user after creation. For example,
list_of_names=["Amit","Shweta","Peter","Zoya"]
Marks=[89,92,93,78,89]
class9=[101,"Neha",89.5,102,"Shushil",92]
✶ Tuples: It is a sequence of heterogeneous values arranged as elements and are referred by an index
number. These values are separated by comma and are enclosed in circular brackets ( ). They are immutable
as the values of these data types cannot be changed by the user after creation.
mytuple=("Amit","Shweta","Peter","Zoya")
Marks=(89,92,93,78,89)
class9=(101,"Neha",89.5,102,"Shushil",92)
• Set: A set is a collection of unique elements that is both mutable and unordered. Sets are defined using
curly brackets {} with elements separated by commas. Each element in a set must be unique. Sets are
commonly used for tasks that involve mathematical operations like union, intersection, and difference.
For example,
mySet = {21, 52, 33, 54, 95}
• Dictionary: In Python, a dictionary is a data type that stores a collection of Key : Value pairs. Each key is unique
within the dictionary, and it maps to a corresponding value. Dictionary is represented by curly braces {} with
each pair separated by a colon (:). Dictionaries are mutable, meaning they can be modified after creation.
For example, person = {'name': 'Yash', 'Department': 'Sales', 'city': 'Delhi'}
Data Type Conversion
The process of converting value of one data type to another is called type conversion or type casting. This is
useful when you need to perform operations involving mixed types.
Python supports two types of type conversion:
1. Implicit Type Conversion
2. Explicit Type Conversion
1. Implicit Type Conversion: In implicit type conversion, when Python encounters mixed data types, it
automatically converts one data type to another data type to avoid data loss and ensure compatibility. This
process doesn't require any user involvement.
# Example of implicit type conversion
a = 5 # Integer
b = 2.0 # Float
# Adding an integer and a float
result = a + b
386 Touchpad Artificial Intelligence (Ver. 3.0)-IX

