Types of Data in Python (with Examples)<\/h2>\n![\"data](\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/08\/Data-Types-in-Python-2.webp\")
Data Types in Python<\/figcaption><\/figure>\nLet\u2019s go step by step through the different types of data in Python<\/strong>.<\/p>\n1. Integer (int)<\/h3>\n\n- Whole numbers, positive or negative, without decimals.<\/li>\n<\/ul>\n
age = <\/span>25print(type(age))\u00a0 # <class ‘int’><\/p>\n2. Float (float)<\/h3>\n\n- Numbers with decimals.<\/li>\n<\/ul>\n
pi = <\/span>3.14159print(type(pi))\u00a0 # <class ‘float’><\/p>\n3. Complex (complex)<\/h3>\n\n- Numbers with real and imaginary parts.<\/li>\n<\/ul>\n
z = <\/span>5 + 3jprint(type(z))\u00a0 # <class ‘complex’><\/p>\n4. String (str)<\/h3>\n\n- Text enclosed in quotes.<\/li>\n<\/ul>\n
name = <\/span>“Python”print(type(name))\u00a0 # <class ‘str’><\/p>\n5. Boolean (bool)<\/h3>\n\n- Logical values: True or False.<\/li>\n<\/ul>\n
is_active = <\/span>Trueprint(type(is_active))\u00a0 # <class ‘bool’><\/p>\nCollection Data Types in Python<\/h2>\n
Python also provides powerful data structures<\/strong> to handle multiple values.<\/p>\n6. List (list) \u2013 Mutable Collection<\/h3>\n
fruits = [<\/span>“apple”, “banana”, “cherry”]print(type(fruits))\u00a0 # <class ‘list’><\/p>\n7. Tuple (tuple) \u2013 Immutable Collection<\/h3>\n
coordinates = (<\/span>10, 20)print(type(coordinates))\u00a0 # <class ‘tuple’><\/p>\n8. Set (set) \u2013 Unique Elements<\/h3>\n
unique_nums = {<\/span>1, 2, 3, 3}print(unique_nums)\u00a0 # {1, 2, 3}<\/p>\n9. Dictionary (dict) \u2013 Key-Value Pairs<\/h3>\n
student = {<\/span>“name”: “John”, “age”: 21}print(type(student))\u00a0 # <class ‘dict’><\/p>\nMutable vs Immutable Data Types in Python<\/h2>\n![\"data](\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/08\/Mutable-vs-Immutable-Data-Types-in-Python.webp\")
Mutable vs Immutable Data Types in Python<\/figcaption><\/figure>\n\n- Mutable<\/strong> \u2192 can be changed (list, dict, set).<\/li>\n
- Immutable<\/strong> \u2192 cannot be changed (int, float, str, tuple).<\/li>\n<\/ul>\n
This distinction is crucial for memory management and performance.<\/p>\n
Type Conversion in Python<\/h2>\n
Python lets you convert between data types easily:<\/p>\n
x = <\/span>“100”y = int(x)\u00a0 # Convert string to integerprint(y, type(y))\u00a0 # 100 <class ‘int’><\/p>\nQuick Summary Table of Python Data Types<\/h2>\n
Let\u2019s go step by step through the different types of data in Python<\/strong>.<\/p>\n age = <\/span>25print(type(age))\u00a0 # <class ‘int’><\/p>\n pi = <\/span>3.14159print(type(pi))\u00a0 # <class ‘float’><\/p>\n z = <\/span>5 + 3jprint(type(z))\u00a0 # <class ‘complex’><\/p>\n name = <\/span>“Python”print(type(name))\u00a0 # <class ‘str’><\/p>\n is_active = <\/span>Trueprint(type(is_active))\u00a0 # <class ‘bool’><\/p>\n Python also provides powerful data structures<\/strong> to handle multiple values.<\/p>\n fruits = [<\/span>“apple”, “banana”, “cherry”]print(type(fruits))\u00a0 # <class ‘list’><\/p>\n coordinates = (<\/span>10, 20)print(type(coordinates))\u00a0 # <class ‘tuple’><\/p>\n unique_nums = {<\/span>1, 2, 3, 3}print(unique_nums)\u00a0 # {1, 2, 3}<\/p>\n student = {<\/span>“name”: “John”, “age”: 21}print(type(student))\u00a0 # <class ‘dict’><\/p>\n This distinction is crucial for memory management and performance.<\/p>\n Python lets you convert between data types easily:<\/p>\n x = <\/span>“100”y = int(x)\u00a0 # Convert string to integerprint(y, type(y))\u00a0 # 100 <class ‘int’><\/p>\n1. Integer (int)<\/h3>\n
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2. Float (float)<\/h3>\n
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3. Complex (complex)<\/h3>\n
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4. String (str)<\/h3>\n
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5. Boolean (bool)<\/h3>\n
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Collection Data Types in Python<\/h2>\n
6. List (list) \u2013 Mutable Collection<\/h3>\n
7. Tuple (tuple) \u2013 Immutable Collection<\/h3>\n
8. Set (set) \u2013 Unique Elements<\/h3>\n
9. Dictionary (dict) \u2013 Key-Value Pairs<\/h3>\n
Mutable vs Immutable Data Types in Python<\/h2>\n
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Type Conversion in Python<\/h2>\n
Quick Summary Table of Python Data Types<\/h2>\n
![\"type](\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2025\/08\/Real-World-Applications-of-Python-Data-Types.webp\")