Python Data Structures Assignment

This repository contains Python exercises completed as part of a software development bootcamp, focusing on core Python data structures and their practical use in real-world scenarios.

Topics Covered

• Lists

  • Collected and stored user input
  • Used lists of dictionaries to model structured data
  • Demonstrated mutability and in-place modification

• Dictionaries

  • Stored key–value data using meaningful identifiers
  • Used nested dictionaries for complex data (e.g. contact details)
  • Safely accessed data using .get()
  • Added, updated, and deleted dictionary entries

• Sets

  • Removed duplicate values
  • Performed set operations (union, intersection, difference)
  • Used sets for efficient membership testing

Practical Exercises

• Contact Book

  • Implemented a contact book using dictionaries
  • Stored contact names as keys and contact details as nested dictionaries
  • Added validation and JSON save/load functionality

• Inventory Management

  • Represented inventory as a list of dictionaries
  • Calculated total inventory value
  • Identified the highest-priced product
  • Applied formatted output for currency values

• To-Do List

  • Built a task list using a list of dictionaries
  • Tracked completion status using booleans
  • Filtered and displayed pending tasks

Key Concepts

• Mutable vs immutable data types
• Nested data structures and object references
• Choosing the appropriate data structure for a given problem

Tools Used

• Python
• VS Code
• Git & GitHub