Python numbers
Table of Contents
Description
In Python, numbers are a built-in data type used to store numeric values.
Python supports three main types of numbers:
int: Whole numbers (positive, negative, or zero) without a decimal point.
float: Real numbers with decimal points.
complex: Numbers with a real and imaginary part (e.g., 3 + 4j).
Python handles large numbers automatically, and there's no need to declare data types explicitly.
Prerequisites
- Understanding of basic math operations.
- Familiarity with Python syntax and variables.
Examples
Here's a simple program in Python:
# Integer (int) a = 10 # a is an integer b = -5 # negative integer # Float pi = 3.14159 # a floating-point number g = -9.81 # negative float # Complex number z = 2 + 3j # 2 is the real part, 3j is the imaginary part # Type checking print(type(a)) # Output:print(type(pi)) # Output: print(type(z)) # Output: # Accessing real and imaginary parts print(z.real) # Output: 2.0 print(z.imag) # Output: 3.0 Real-World Applications
int: Counting items, indexing, iteration counters.
float: Scientific calculations, measurements, percentages
complex: Electrical engineering (AC circuit analysis), quantum mechanics, signal processing.
Where topic Can Be Applied
Finance applications: Float for interest rates, tax, pricing.
Physics and engineering simulations: Complex numbers in wave and circuit models.
Game development: Int for scores, float for movement precision.
AI/ML models: Numeric data processing using int and float types.
Scientific computing: Large numeric calculations using all three types.
Resources
WatchTopic video source
A comprehensive video
VisitPython pdf
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Interview Questions
What are the different numeric data types in Python?
How do you create a complex number in Python?
How is type conversion handled between int and float?
Can you access the real and imaginary parts of a complex number?
What is the output of type(5.0) and type(5)?