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CONTENTS
- Introduction
- Integer
- Float
Introduction
Python is a versatile and dynamically-typed programming language that supports a wide range of data types to handle different kinds of information efficiently.
Python's data types can be broadly categorized into built-in and user-defined types.
Built-in types include numeric types (like integers, floats, and complex numbers), sequences (like strings, lists, and tuples), mappings (like dictionaries), sets, and boolean values.
Each data type has its own unique characteristics and methods, making Python highly flexible and powerful for tasks ranging from simple calculations to complex data processing.
Integer
An integer in Python is a built-in data type that represents whole numbers, both positive and negative, without any decimal or fractional part. Python integers belong to the int class and can handle extremely large values due to Python's automatic memory management.
Key Characteristics of Python Integers:
✅ Python int type represents whole numbers i.e. do not contain decimals.
✅ It supports unlimited precision (no fixed size limit). Unlike some programming languages, Python supports very large integers.
✅ Support arithmetic operations like +, -, *, //, %, and ** work on integers.
✅ Use type() and isinstance() to check integer types.
✅ Convert between integers, floats, strings, and booleans using int().
✅ Python provides built-in functions like abs(), pow(), divmod(), bin(), oct(), and hex().
✅ The value of an integer cannot be changed after it is assigned i.e. immutable.
Create Integer
Code </>:
# Create positive integer
my_int = 5
Output:
5
Code </>:
# Create negative integer
my_int = -25
Output:
-25
Code </>:
# Check data type
type(my_int)
Output:
int