# Linked list implementation in Python
class Node:
# Creating a node
def __init__(self, item):
self.item = item
self.next = None
class LinkedList:
def __init__(self):
self.head = None
if __name__ == '__main__':
linked_list = LinkedList()
# Assign item values
linked_list.head = Node(1)
second = Node(2)
third = Node(3)
# Connect nodes
linked_list.head.next = second
second.next = third
# Print the linked list item
while linked_list.head != None:
print(linked_list.head.item, end=" ")
linked_list.head = linked_list.head.next
1 2 3 # Stack implementation in python
# Creating a stack
def create_stack():
stack = []
return stack
# Creating an empty stack
def check_empty(stack):
return len(stack) == 0
# Adding items into the stack
def push(stack, item):
stack.append(item)
print("pushed item: " + item)
# Removing an element from the stack
def pop(stack):
if (check_empty(stack)):
return "stack is empty"
return stack.pop()
stack = create_stack()
push(stack, str(1))
push(stack, str(2))
push(stack, str(3))
push(stack, str(4))
print("popped item: " + pop(stack))
print("stack after popping an element: " + str(stack))
pushed item: 1
pushed item: 2
pushed item: 3
pushed item: 4
popped item: 4
stack after popping an element: ['1', '2', '3']
# Queue implementation in Python
class Queue:
def __init__(self):
self.queue = []
# Add an element
def enqueue(self, item):
self.queue.append(item)
# Remove an element
def dequeue(self):
if len(self.queue) < 1:
return None
return self.queue.pop(0)
# Display the queue
def display(self):
print(self.queue)
def size(self):
return len(self.queue)
q = Queue()
q.enqueue(1)
q.enqueue(2)
q.enqueue(3)
q.enqueue(4)
q.enqueue(5)
q.display()
q.dequeue()
print("After removing an element")
q.display()
[1, 2, 3, 4, 5]
After removing an element
[2, 3, 4, 5]
# Priority Queue implementation in Python
# Function to heapify the tree
def heapify(arr, n, i):
# Find the largest among root, left child and right child
largest = i
l = 2 * i + 1
r = 2 * i + 2
if l < n and arr[i] < arr[l]:
largest = l
if r < n and arr[largest] < arr[r]:
largest = r
# Swap and continue heapifying if root is not largest
if largest != i:
arr[i], arr[largest] = arr[largest], arr[i]
heapify(arr, n, largest)
# Function to insert an element into the tree
def insert(array, newNum):
size = len(array)
if size == 0:
array.append(newNum)
else:
array.append(newNum)
for i in range((size // 2) - 1, -1, -1):
heapify(array, size, i)
# Function to delete an element from the tree
def deleteNode(array, num):
size = len(array)
i = 0
for i in range(0, size):
if num == array[i]:
break
array[i], array[size - 1] = array[size - 1], array[i]
array.remove(size - 1)
for i in range((len(array) // 2) - 1, -1, -1):
heapify(array, len(array), i)
arr = []
insert(arr, 3)
insert(arr, 4)
insert(arr, 9)
insert(arr, 5)
insert(arr, 2)
print ("Max-Heap array: " + str(arr))
deleteNode(arr, 4)
print("After deleting an element: " + str(arr))
Max-Heap array: [9, 5, 4, 3, 2]
After deleting an element: [9, 5, 2, 3]