Python Numeric Types
Game time scenario
Imagine you’re in charge of updating the scoreboard at a football match. The system needs to track the goals (whole numbers), the average possession percentage (decimals), and whether the game is still active or finished. Not every number is the same!
Python organizes numbers into numeric types, which help the program understand how to work with them.
In this lesson, we’ll build a simplified scoreboard and learn the different numeric types in Python.
Here’s what the scoreboard looks like:

You’re the programmer responsible for creating this scoreboard system. Let’s understand the numeric types before we build it.
The core idea
Python has three main numeric types:
- Integer (int) – whole numbers without decimals.
Example: 10, -5, 2025 - Float (float) – numbers with decimal points.
Example: 7.5, 3.1416, 0.99 - Complex (complex) – numbers with a real and imaginary part (used in advanced math).
Example: 2 + 3j
Most beginner projects use int and float. Complex numbers are more common in scientific or engineering problems.
Example in code:
1 2 3goals = 3 # int possession = 62.5 # float score_formula = 2 + 3j # complex
Think of our football match:
- The number of goals must be a whole number (int).
- The percentage of ball possession is a decimal (float).
- If we were doing advanced physics modeling for the ball’s motion, we might use complex numbers (complex).
Choosing the right numeric type makes sure our calculations are accurate and logical.
✨ Quick facts
- int → whole numbers (5, -10, 2024)
- float → decimals (3.5, 0.01, -7.25)
- complex → real + imaginary (2+3j, 4-1j)
Try it out
Let’s make a simple football scoreboard:
1 2 3 4 5 6 7 8 9 10team_a_goals = 2 # int team_b_goals = 1 # int possession_a = 58.5 # float possession_b = 41.5 # float print("=== SCOREBOARD ===") print("Team A Goals:", team_a_goals) print("Team B Goals:", team_b_goals) print("Possession A:", possession_a, "%") print("Possession B:", possession_b, "%")
Output:
1 2 3 4 5=== SCOREBOARD === Team A Goals: 2 Team B Goals: 1 Possession A: 58.5 % Possession B: 41.5 %
Work with AI
If you’re using an AI assistant, try this:
Prompt:
Write a Python program that uses integers and floats to create a basketball scoreboard. Include points, fouls, and shooting accuracy (percentage). Print the results clearly.
The AI will generate the scoreboard program with the correct numeric types.
Practice challenge
Great progress! Let’s test your understanding with a new scenario.
Task
Create a scoreboard for a cricket match. Show:
- Team X runs: 245 (int)
- Team Y runs: 198 (int)
- Run rate: 5.75 (float)
- Target difference: 47 (int)
The output should look like this:
1 2 3 4 5=== CRICKET SCOREBOARD === Team X Runs: 245 Team Y Runs: 198 Run Rate: 5.75 Target Difference: 47
Solution
1 2 3 4 5 6 7 8 9 10team_x_runs = 245 team_y_runs = 198 run_rate = 5.75 target_difference = 47 print("=== CRICKET SCOREBOARD ===") print("Team X Runs:", team_x_runs) print("Team Y Runs:", team_y_runs) print("Run Rate:", run_rate) print("Target Difference:", target_difference)
Perfect! You’ve now mastered Python’s numeric types and how to use them in real-world projects.
Frequently Asked Questions
Python has three main numeric types: int for integers, float for floating-point numbers, and complex for complex numbers. There's also a bool type, which can be considered numeric since it holds values True or False (1 or 0).
The three main types of numbers in Python are int (integer), float (floating-point number), and complex (complex number).
Yes, Python includes numeric data types like int, float, and complex to represent different kinds of numbers.
Python includes three primary numeric types: int, float, and complex, each serving different purposes.
Numeric data types in Python refer to int, float, and complex, used to represent numbers.
The three types of numbers in Python are int, float, and complex, which store integers, decimal numbers, and complex numbers, respectively.
Numeric characters in Python refer to digits (0-9) used to form numeric values like integers and floating-point numbers.
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