Introduction
Understanding data structures is crucial for writing efficient code. In this lesson, we'll implement common data structures in Python: stacks, queues, linked lists, and binary trees.
Stacks and queues
# Stack (LIFO) - use a list
stack = []
stack.append(1) # push
stack.append(2)
stack.pop() # 2 (pop)
# Queue (FIFO) - use deque for O(1) operations
from collections import deque
queue = deque()
queue.append(1) # enqueue
queue.append(2)
queue.popleft() # 1 (dequeue)Linked list
class Node:
def __init__(self, data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
def append(self, data):
new_node = Node(data)
if not self.head:
self.head = new_node
return
current = self.head
while current.next:
current = current.next
current.next = new_node
def display(self):
elements = []
current = self.head
while current:
elements.append(str(current.data))
current = current.next
return " -> ".join(elements)Assignment
- Implement a
BinarySearchTreeclass with insert, search, and traversal methods. - Implement a stack-based solution to check balanced parentheses.