Introduction to Data Types

Data types in Python represent the kind of values that variables can hold. Here are some common data types:

Numeric Types:

• Integers (int): Whole numbers without decimal points.
• Floating-Point Numbers (float): Real numbers with decimal points.

Complex Numbers (complex): Numbers with a real and imaginary part.

Text Type:

• Strings (str): Sequences of characters enclosed in single or double quotes.

Boolean Type:

• Boolean (bool): Represents either True or False.

Data Structures

Python provides several built-in data structures to organize and manipulate data:

• Lists: Ordered collections of items (mutable).
• Tuples: Ordered collections of items (immutable).
• Sets: Unordered collections of unique items.
• Dictionaries: Key-value pairs for efficient data retrieval. Dictionaries are unordered, mutable, and iterable, making them efficient for accessing and manipulating data based on keys.

Mutable Data Types:
Allow their contents to be modified after creation. This means you can add, remove, or modify elements without changing the identity of the object.

Immutable Data Types:
Do not allow their contents to be changed after creation. Once an immutable object is created, its value cannot be modified.

Type Conversion

You can convert between different data types using type casting functions like int(), float(), str(), etc.

Python Code

Numeric Data Type

# Integers
my_integer = 42
print(type(my_integer))  # Output: <class 'int'>

# Floating-Point Numbers
my_float = 3.14
print(type(my_float))  # Output: <class 'float'>

# Complex Numbers
my_complex = 2 + 3j
print(type(my_complex))  # Output: <class 'complex'>

String Data Type

text_str = "Hello, world!"
formatted_str = "My name is {} and I am {} years old".format("John", 30)
print(type(text_str)) 

Boolean

bool_example = True
print(type(bool_example)) 

Lists , Tuple, Sets, Dictionaries

my_list = [1, 2, 3, 4]
print(type(my_list))  

my_tuple = (1, 2, 3, 4, 5)
print(type(my_tuple))  

set_example = {1, 2, 3, 4, 5}
print(type(set_example))  

my_dict = {"name": "Alice", "age": 30}
print(type(my_dict))  

Data Type Conversion

# Convert float to integer
my_float = 3.14
my_integer = int(my_float)
print(type(my_integer))  

# Convert integer to float
my_integer = 42
my_float = float(my_integer)
print(type(my_float))  

# Convert string to integer
my_string = "123"
my_integer = int(my_string)
print(type(my_string))