Integer, Float, Complex0%
Integer, Float, Complex
Beginner8 min read•Updated: 2026-09-03
Integer, Float, Complex
Python natively provides rich numerical representations for discrete, fractional, and imaginary numbers.
Key Concepts & Detailed Explanation
Key points on Python numeric types:
- 1int: Unbounded precision. Python automatically allocates memory as digits grow.
- 2float: IEEE 754 double precision. Supports scientific notation (e.g. 1.2e6).
- 3complex: Numbers with real and imaginary parts using 'j' (e.g. 3 + 4j).
Code Examples & Output
Python
# Integers of any size
huge = 2 ** 100
print("2^100 =", huge)
# Floats and scientific notation
mass_electron = 9.109e-31
print("Mass:", mass_electron)
# Complex numbers
c = 4 + 7j
print("Real:", c.real, "| Imaginary:", c.imag, "| Conjugate:", c.conjugate())
Expected Output:
Output
2^100 = 1267650600228229401496703205376
Mass: 9.109e-31
Real: 4.0 | Imaginary: 7.0 | Conjugate: (4-7j)
Best Practices & Common Pitfalls
To work with exact decimal precision for financial apps, use the built-in 'decimal' module.
Practice Quiz
1. Which letter designates the imaginary part in Python complex numbers?
- A) i
- B) j
- C) z
- D) img
Answer: B
Explanation: Python uses 'j' or 'J' for imaginary components.
2. What happens when an integer in Python exceeds 64 bits?
- A) It causes an overflow error
- B) Python seamlessly allocates more memory for arbitrary precision
- C) It wraps around to negative
- D) It becomes a float
Answer: B
Explanation: Python integers automatically scale to arbitrary precision.
Practice Challenge
Create two complex numbers, add them, and print their real and imaginary components.
Next Lesson
Mathematical Operations
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Related Lessons
| Previous Lesson | Next Lesson |
|---|---|
| Checking Data Types (isinstance) | Mathematical Operations |
Practice Quiz
Test your understanding of this lesson with 1 questions. Each question has one correct answer.