Python
docs.python.org › 3 › library › heapq.html
heapq — Heap queue algorithm
Raise KeyError if not found.' entry = entry_finder.pop(task) entry[-1] = REMOVED def pop_task(): 'Remove and return the lowest priority task. Raise KeyError if empty.' while pq: priority, count, task = heappop(pq) if task is not REMOVED: del entry_finder[task] return task raise KeyError('pop from an empty priority queue')
GeeksforGeeks
geeksforgeeks.org › python › python-heapq-heappop-method
Python heapq.heappop() Method - GeeksforGeeks
June 11, 2026 - Python · import heapq h = [5, 1, 8, 3] heapq.heapify(h) print(heapq.heappop(h)) print(h) Output · 1 [3, 5, 8] Explanation: heapq.heappop(h) removes and returns the smallest element (1). The remaining elements are rearranged to maintain the ...
Reddit
reddit.com › r/leetcode › complexity analysis of heappush, heappop and heapify in python.
r/leetcode on Reddit: Complexity analysis of heappush, heappop and heapify in Python.
January 5, 2023 -
What is the time complexity for these?
Top answer 1 of 2
5
Heappush and Heappop -O(log(n)) Heapify - O(n) because it uses sift down operations Space complexity is O(n)
2 of 2
2
Pushing and popping a heap is O(log n). Heapify has to do this 1 element at a time I presume, so O(n log n) (this is the lowest bound for any sorting anyway)
Can you use Python's heapq methods during interviews? For instance, heapq.nlargest() Jan 12, 2025
r/leetcode last yr.
Medium
dpythoncodenemesis.medium.com › understanding-pythons-heapq-module-a-guide-to-heap-queues-cfded4e7dfca
Understanding Python’s Heapq Module: A Guide to Heap Queues | by Python Code Nemesis | Medium
October 21, 2023 - Heapq is a module in Python that provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. It allows for efficient management of priority queues in a way that elements with higher priority are served ...
Stack Overflow
stackoverflow.com › questions › 66130557 › what-is-the-difference-between-heappop-and-pop0-on-a-sorted-list
python - What is the difference between heappop and pop(0) on a sorted list? - Stack Overflow
EDIT: I know heappop() pops the smallest value out, which is why I have sorted the list based off of the 'a' (which heappop uses too, I assume) ... You do not need to sort the list again and again. You can move the list_.sort() call before the loop. What problem does it cause in other part of your code? ... Save this answer. ... Show activity on this post. To work with heapq you have to be aware python implements min heaps.
W3Schools
w3schools.com › python › ref_module_heapq.asp
Python heapq Module
Python Examples Python Compiler Python Exercises Python Quiz Python Challenges Python Practice Problems Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Bootcamp Python Training ... import heapq h = [] heapq.heappush(h, 3) heapq.heappush(h, 1) heapq.heappush(h, 2) print([heapq.heappop(h) for _ in range(3)]) Try it Yourself »
GeeksforGeeks
geeksforgeeks.org › python › heap-queue-or-heapq-in-python
Heap queue or heapq in Python - GeeksforGeeks
heappop(h) removes the smallest element (5) and returns it. After popping, next smallest element (10) takes the root position. heapq.heappushpop() pushes a new element onto the heap and removes the smallest element in a single operation.
Published April 6, 2026
GitHub
github.com › python › cpython › blob › main › Lib › heapq.py
cpython/Lib/heapq.py at main · python/cpython
obvious, but is more suitable since Python uses 0-based indexing. · - Our heappop() method returns the smallest item, not the largest. · These two make it possible to view the heap as a regular Python list · without surprises: heap[0] is the smallest item, and heap.sort() maintains the heap invariant!
Author python
GeeksforGeeks
geeksforgeeks.org › dsa › python-data-structures-and-algorithms
DSA with Python - Data Structures and Algorithms - GeeksforGeeks
October 10, 2025 - Python · import heapq a = [5, 7, 9, 1, 3] # using heapify to convert list into heap heapq.heapify(a) # printing created heap print ("The created heap is:", a) # Push 4 into the heap heapq.heappush(a, 4) # printing modified heap print ("The modified heap after push is:", a) # using heappop() to pop smallest element print ("The smallest element is:", heapq.heappop(a)) Output ·
7-Zip Documentation
documentation.help › Python-2.6 › heapq.html
heapq — Heap queue algorithm - Python 2.6 Documentation
October 2, 2008 - >>> from heapq import heappush, heappop >>> heap = [] >>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] >>> for item in data: ... heappush(heap, item) ... >>> ordered = [] >>> while heap: ... ordered.append(heappop(heap)) ...
Lucidplexus
lucidplexus.com › learn › home.php
Python Data Structures – Heaps (heapq) • Interactive Tutorial
Stay ahead of data trends, and discover remote opportunities—all in one place.
iO Flood
ioflood.com › blog › using-python-heapq-module-for-heaps-and-priority-queues
Using Python Heapq Module for Heaps and Priority Queues
February 5, 2024 - import heapq # Create a priority queue pq = [] heapq.heappush(pq, (2, 'code')) heapq.heappush(pq, (1, 'eat')) heapq.heappush(pq, (3, 'sleep')) while pq: next_item = heapq.heappop(pq) print(next_item)
Python Cheat Sheet
pythonsheets.com › notes › basic › python-heap.html
Heap — Python Cheat Sheet
>>> import heapq >>> # Convert list to heap in-place >>> h = [5, 1, 3, 2, 6] >>> heapq.heapify(h) >>> h[0] # smallest element at root 1 >>> # Push and pop >>> heapq.heappush(h, 0) >>> heapq.heappop(h) 0 >>> # Push and pop in one operation >>> heapq.heappushpop(h, 4) # push 4, then pop smallest 1 >>> # Pop and push in one operation >>> heapq.heapreplace(h, 0) # pop smallest, then push 0 2
Educative
educative.io › answers › what-is-the-heapqheappop-method-in-python
What is the heapq.heappop() method in Python?
Note: Refer to What is a Heap? and What is the Python priority queue? to understand more about heaps and priority queues. The heappop method pops and returns the smallest element of the given heap.
Real Python
realpython.com › ref › stdlib › heapq
heapq | Python Standard Library – Real Python
Language: Python · >>> import heapq >>> nums = [5, 1, 3, 7, 8, 2] >>> heapq.heapify(nums) >>> heapq.heappop(nums) 1 · Implementing priority queues · Scheduling tasks based on priority · Finding the smallest or largest elements in a collection · Suppose you need to process tasks based on priority.
Guidetopython
en.guidetopython.com › Heapq_Easy_Playground
Python heapq - Easy Playground | Guide to Python
Python PlaygroundRun · import heapq # Min-heap operations nums = [5, 1, 8, 3, 9, 2, 7] heapq.heapify(nums) print(f"Heap: {nums}") print(f"Smallest: {heapq.heappop(nums)}") print(f"3 largest: {heapq.nlargest(3, [5, 1, 8, 3, 9])}") Output · Click "Run" to execute your code ·
Squash
squash.io › a-quick-guide-to-python-heapq-and-heap-in-python
A Guide to Python heapq and Heap in Python
August 10, 2023 - In the above example, we have a heap with elements [1, 2, 7, 5]. We use the heappop() function to remove the smallest element from the heap, which is 1. After removal, the heap is modified to maintain the heap property. Related Article: How To Find Index Of Item In Python List
Medium
medium.com › plain-simple-software › python-heapq-use-cases-and-time-complexity-ee7cbb60420f
Python HeapQ Use Cases and Time Complexity | by Yujian Tang | Plain Simple Software | Medium
August 18, 2022 - Advanced priority queue setups allow you to sort based on more than one attribute. In most cases, priority queues are implemented with heaps. In Python, the heapq module is the Python heap queue library.
GeeksforGeeks
geeksforgeeks.org › dsa › huffman-coding-greedy-algo-3
Huffman Coding Algorithm - GeeksforGeeks
#Driver Code Starts import heapq #Driver Code Ends # Class to represent Huffman tree node class Node: # Leaf node def __init__(self, d, i, left=None, right=None): # frequency self.data = d # smallest original index in subtree self.index = i # smallest original index in subtree self.left = left self.right = right # Function to traverse tree in preorder # manner and push the Huffman representation # of each character. def preOrder(root, ans, curr): if root is None: return # Leaf node represents a character. if root.left is None and root.right is None: # single character case if curr == "": curr
Published April 9, 2026
7-Zip Documentation
documentation.help › Python-2.7 › heapq.html
8.4. heapq — Heap queue algorithm - Python 2.7 Documentation
>>> from heapq import heappush, heappop >>> heap = [] >>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] >>> for item in data: ... heappush(heap, item) ... >>> ordered = [] >>> while heap: ... ordered.append(heappop(heap)) ...