Introduction
Congratulations on reaching the final module of the Data Structures course! This section is designed to help you apply the knowledge and skills you've acquired throughout the course. You will find a selection of final projects that cover various data structures and their applications. These projects are intended to challenge you and solidify your understanding of the concepts.
Project 1: Implementing a Library Management System
Objective
Create a library management system that uses different data structures to manage books, members, and transactions.
Requirements
-
Books Management:
- Use a Linked List to store book information (title, author, ISBN, availability).
- Implement functions to add, remove, and search for books.
-
Members Management:
- Use a Queue to manage the list of members waiting to borrow a book.
- Implement functions to add and remove members from the queue.
-
Transactions Management:
- Use a Stack to keep track of the borrowing and returning transactions.
- Implement functions to push and pop transactions.
Example Code Snippet
class Book:
def __init__(self, title, author, isbn):
self.title = title
self.author = author
self.isbn = isbn
self.available = True
class Library:
def __init__(self):
self.books = LinkedList()
self.members = Queue()
self.transactions = Stack()
def add_book(self, book):
self.books.append(book)
def remove_book(self, isbn):
# Implement removal logic
pass
def search_book(self, title):
# Implement search logic
pass
def add_member(self, member):
self.members.enqueue(member)
def remove_member(self):
return self.members.dequeue()
def borrow_book(self, isbn, member):
# Implement borrowing logic
pass
def return_book(self, isbn, member):
# Implement returning logic
passExercise
- Implement the
remove_bookandsearch_bookmethods. - Implement the
borrow_bookandreturn_bookmethods. - Test your library management system with various scenarios.
Project 2: Social Network Graph
Objective
Create a social network graph where users can follow each other, and you can find the shortest path between two users.
Requirements
-
User Management:
- Use a Graph to represent users and their connections.
- Implement functions to add users and create connections (edges).
-
Shortest Path:
- Implement Dijkstra's algorithm to find the shortest path between two users.
Example Code Snippet
class User:
def __init__(self, name):
self.name = name
self.connections = []
class SocialNetwork:
def __init__(self):
self.users = {}
def add_user(self, user):
self.users[user.name] = user
def add_connection(self, user1, user2):
self.users[user1].connections.append(user2)
self.users[user2].connections.append(user1)
def shortest_path(self, start_user, end_user):
# Implement Dijkstra's algorithm
passExercise
- Implement the
shortest_pathmethod using Dijkstra's algorithm. - Test your social network graph with various users and connections.
Project 3: E-commerce Product Catalog
Objective
Create an e-commerce product catalog that allows users to search for products and sort them by different criteria.
Requirements
-
Product Management:
- Use a Binary Search Tree (BST) to store product information (name, price, category).
- Implement functions to add, remove, and search for products.
-
Sorting:
- Implement functions to sort products by price and category.
Example Code Snippet
class Product:
def __init__(self, name, price, category):
self.name = name
self.price = price
self.category = category
class ProductCatalog:
def __init__(self):
self.products = BinarySearchTree()
def add_product(self, product):
self.products.insert(product)
def remove_product(self, name):
# Implement removal logic
pass
def search_product(self, name):
# Implement search logic
pass
def sort_by_price(self):
# Implement sorting logic
pass
def sort_by_category(self):
# Implement sorting logic
passExercise
- Implement the
remove_productandsearch_productmethods. - Implement the
sort_by_priceandsort_by_categorymethods. - Test your product catalog with various products and sorting criteria.
Conclusion
These final projects are designed to help you apply the concepts and techniques you've learned throughout the course. By completing these projects, you will gain practical experience in implementing and using data structures in real-world scenarios.
Remember to:
- Break down each project into smaller tasks.
- Test your code thoroughly.
- Document your code for better readability and maintenance.
Good luck, and happy coding!
Data Structures Course
Module 1: Introduction to Data Structures
Module 2: Lists
Module 3: Stacks
- Introduction to Stacks
- Basic Operations with Stacks
- Stack Implementation
- Applications of Stacks
- Exercises with Stacks
Module 4: Queues
- Introduction to Queues
- Basic Operations with Queues
- Circular Queues
- Priority Queues
- Exercises with Queues
Module 5: Trees
Module 6: Graphs
- Introduction to Graphs
- Graph Representation
- Graph Search Algorithms
- Shortest Path Algorithms
- Applications of Graphs
- Exercises with Graphs
