Understanding Numeric Data Types in Python

Python supports various types of numeric data, which are essential for performing mathematical operations. This article covers the primary types of numbers in Python, along with key concepts and practical examples.

Types of Numbers in Python

1. Integers (int)
   • Whole numbers, both positive and negative, without decimals.
   • Example:
2. Floating-Point Numbers (float)
   • Numbers that include a decimal point.
   • Example:
3. Complex Numbers (complex)
   • Numbers that have a real part and an imaginary part, represented as a + bj.
   • Example:

 e = 2 + 3j  # 2 is the real part, 3 is the imaginary part

 c = 3.14
d = -0.001

 a = 5
b = -10

Key Concepts

• Type Conversion: You can convert between number types using built-in functions:
  • int(): Convert to integer
  • float(): Convert to float
  • complex(): Convert to complex number
  • Example:
• Mathematical Operations: Python supports standard arithmetic operations:
  • Addition (+), Subtraction (-), Multiplication (*), Division (/), Floor Division (//), Modulus (%), Exponentiation (**).
  • Example:

 sum = 5 + 3      # 8
product = 5 * 3  # 15

 num = 5.5
integer_num = int(num)  # Converts to 5

Conclusion

Understanding numeric types in Python is fundamental for programming. Numbers can be used in various calculations, and Python makes it easy to work with them through type conversion and arithmetic operations. By practicing these concepts, beginners can enhance their programming skills effectively.