Python
- key differences between List and Arrays
- Python collections ChainMap
- Array : Find median in an integer array
- Array : Find middle element in an integer array
- Array : Find out the duplicate in an array
- Array : Find print all subsets in an integer array
- Program : Array : Finding missing number between from 1 to n
- Array : Gap and Island problem
- Python collections
- Python Program stock max profit
- Reverse words in Python
- Python array duplicate program
- Coin change problem in python
- Python Write fibonacci series program
- Array : find all the pairs whose sum is equal to a given number
- Find smallest and largest number in array
- Iterate collections
- List comprehensions in Python
- key differences between List and Arrays
- Program: Calculate Pi in Python
- String Formatting in Python
- Python counters
- python tuples
- Python deque
- Python dictionary
- Python Lists
- python namedtuple
Elevate your coding journey with Python deque—a game-changer in data management. Learn how to harness dynamic data structures and code like a pro.
'''use case for using the deque data structure in Python: solving the
"Maximum of All Subarrays of Size K" problem.
In this problem, you are given an array of integers and a window size k.
You need to find the maximum element in each subarray of size k as the window slides through the array.
Here's a Python code example using the deque data structure to solve this problem:'''
from collections import deque
def max_in_subarrays(arr, k):
result = [] # To store the maximum values of each subarray
dq = deque() # To store indices of elements within the current window
for i in range(len(arr)):
# Remove indices of elements that are out of the current window
while dq and dq[0] < i - k + 1:
dq.popleft()
# Remove indices of elements that are smaller than the current element
while dq and arr[dq[-1]] < arr[i]:
dq.pop()
dq.append(i) # Add the current element's index
# Start adding maximum values to the result once the window is of size k
if i >= k - 1:
result.append(arr[dq[0]])
return result
# Example usage
arr = [1, 3, -1, -3, 5, 3, 6, 7]
k = 3
result = max_in_subarrays(arr, k)
print(result) # Output: [3, 3, 5, 5, 6, 7]