بخشی از مقاله

Several example codes

~2 دقیقه مطالعه · آخرین به‌روزرسانی ۸ مهر ۱۴۰۴

Program Overview

This Python program calculates how many digital books can be stored on a flash drive.
Assumptions:
- Each page has 30 lines
- Each line uses 80 bytes
- 1 gigabyte = 10⁹ bytes
User inputs:
- Number of pages per book
- Flash drive capacity in gigabytes
The program then calculates how many full books can fit into the flash drive.


Python Code:


# Constants
BYTES_PER_LINE = 80
LINES_PER_PAGE = 30
BYTES_PER_PAGE = BYTES_PER_LINE * LINES_PER_PAGE
BYTES_PER_GB = 10 ** 9  # 1 GB = 10⁹ bytes

# User input
pages_per_book = int(input("Enter number of pages per book: "))
flash_capacity_gb = float(input("Enter flash drive capacity (GB): "))

# Calculations
book_size_bytes = pages_per_book * BYTES_PER_PAGE
flash_capacity_bytes = flash_capacity_gb * BYTES_PER_GB
num_books = flash_capacity_bytes // book_size_bytes

# Display result
print("\n--- Result ---")
print(f"Each book uses {book_size_bytes} bytes")
print(f"Flash drive can store {int(num_books)} books")

Sample Output:


Enter number of pages per book: 200  
Enter flash drive capacity (GB): 1  

--- Result ---  
Each book uses 480000 bytes  
Flash drive can store 2083 books

Explanation:

- Each page uses 30 × 80 = 2400 bytes
- Total book size = pages × 2400
- Flash capacity is converted to bytes using 10⁹
- Integer division gives the number of full books that fit


نوشته و پژوهش‌شده توسط دکتر شاهین صیامی

مقالات مرتبط

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.

ادامه

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.

ادامه

Several example codes

understand the Python programming language

ادامه

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.

ادامه

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.

ادامه

Loops, Iterators, and Repetition Control in Python

Loops, Iterators, and Repetition Control in Python

ادامه