Part of the series

Several example codes

~1 min read · Updated Oct 1, 2025

Problem Overview

This Python program checks whether a plot of land measuring 1×3 units can be fully covered using 2×2 tiles.
It calculates the number of full tiles that fit and the remaining uncovered area.


Python Code:


# Land dimensions
land_width = 1
land_length = 3
land_area = land_width * land_length

# Tile dimensions
tile_width = 2
tile_length = 2
tile_area = tile_width * tile_length

# Calculate number of full tiles and leftover area
num_tiles = land_area // tile_area
remaining_area = land_area % tile_area

# Display results
print("\n--- Result ---")
print(f"Land area: {land_area} square units")
print(f"Tile area: {tile_area} square units")
print(f"Number of full tiles usable: {num_tiles}")
print(f"Uncovered area: {remaining_area} square units")

Sample Output:


--- Result ---
Land area: 3 square units  
Tile area: 4 square units  
Number of full tiles usable: 0  
Uncovered area: 3 square units

Step-by-Step Explanation:

- The land area is 3 square units
- Each tile covers 4 square units
- No full tile fits within the land dimensions
- The entire land remains uncovered


Written & researched by Dr. Shahin Siami

Related Articles

Complete Guide to Python Decorators – Enhancing Function Behavior with Reusable Logic

Decorators in Python are a powerful tool for modifying or extending the behavior of functions and classes without changing their original code. They allow developers to implement reusable logic such as logging, authentication, caching, or timing in a clean and maintainable way. This article explores the structure, definition, common use cases, and practical examples of decorators in Python.

Continue

Comprehensive Guide to Python Classes – Object-Oriented Design, Structure, Inheritance, and Practical Use

Classes in Python are the foundation of object-oriented programming, allowing developers to define complex data structures, encapsulate logic, and create scalable, maintainable systems. This article walks through the fundamentals of defining classes, constructors, methods, inheritance, encapsulation, and real-world applications in Python projects.

Continue

Several example codes

understand the Python programming language

Continue

Complete Guide to Getting Text Input from Users in Python

In Python, accepting input from users is one of the simplest yet most powerful features for interactive programming. This article explores the input() function in depth, explains how to cast types, validate user data, and use input within loops and conditions. Real-life examples help clarify each concept, making this guide perfect for beginners and intermediate learners.

Continue

Comprehensive Guide to Functions in Python: Structure, Types, and Use Cases

Functions in Python are essential building blocks for writing modular, reusable, and maintainable code. This article introduces function definitions, distinguishes between built-in and user-defined functions, explores parameters and return values, and presents advanced topics such as recursion and lambda expressions. Whether you're a beginner or brushing up for interviews, this guide offers a clear and accessible foundation.

Continue

Loops, Iterators, and Repetition Control in Python

Loops, Iterators, and Repetition Control in Python

Continue