Python
docs.python.org › 3 › library › heapq.html
heapq — Heap queue algorithm
Source code: Lib/heapq.py This module provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. Min-heaps are binary trees for which every parent node has ...
GeeksforGeeks
geeksforgeeks.org › python › heap-queue-or-heapq-in-python
Heap queue or heapq in Python - GeeksforGeeks
Python provides a built-in module called heapq that allows to create and work with heap queues
Published 2 weeks ago
Videos
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Openmv
docs.openmv.io › library › heapq.html
heapq – heap queue algorithm — MicroPython 1.26 documentation
This module implements a subset of the corresponding CPython module, as described below. For more information, refer to the original CPython documentation: heapq.
Lbl
davis.lbl.gov › Manuals › PYTHON-2.6.6 › library › heapq.html
8.4. heapq — Heap queue algorithm — Python v2.6.6 documentation
8.4. heapq — Heap queue algorithm · 8.4.1. Theory · 8.3. collections — High-performance container datatypes · 8.5. bisect — Array bisection algorithm · Report a Bug · Show Source · Enter search terms or a module, class or function name. index · modules | next | previous | Python ...
Medium
cleverzone.medium.com › exploring-pythons-heapq-module-b0c9d131545c
Exploring Python’s heapq Module
June 17, 2024 - Python’s heapq module offers a solution for implementing heaps and priority queues, perfect for tasks like scheduling and managing priority…
Replit
replit.com › home › discover › how to use 'heapq' in python
How to use 'heapq' in Python | Replit
March 10, 2026 - Master Python's heapq module. This guide covers usage, tips, real-world examples, and debugging common errors for efficient priority queues.
Real Python
realpython.com › ref › stdlib › heapq
heapq | Python Standard Library – Real Python
The Python heapq module provides an implementation of the heap queue algorithm, also known as the priority queue algorithm.
TutorialsPoint
tutorialspoint.com › python_data_structure › python_heaps.htm
Python - Heaps
A heap is created by using pythons inbuilt library named heapq. This library has the relevant functions to carry out various operations on heap data structure.
Reddit
reddit.com › r/leetcode › can you use python's heapq methods during interviews? for instance, heapq.nlargest()
r/leetcode on Reddit: Can you use Python's heapq methods during interviews? For instance, heapq.nlargest()
January 12, 2025 -
I am guessing it's not allowed but wanted to double check.
I hope I don't have to implement heap from scratch.
What heapq methods can I use? just the standard appending and popping? Cheers
Top answer 1 of 5
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When I first started, I only use heapify, heappop and heappush. I started to use heappushpop and replace recently. I don't use nlargest and nsmallest, since there are questions specifically on these two topics. Better to learn how to do it without buildin methods first. Personally, I don't use build-in methods if that's the entire point of the question. For example, if the question is "sort this list", I wouldn't use list.sort or sorted. I will implement mergesort. If the question requires sort along the way, I would use list.sort / sorted. So similarly, if the question is "find k largest / smallest", I wouldn't use nlargest / nsmallest. I will implement the two heap method (this covers a few questions on heap). But if for some reason I need the nlargest / nsmallest for another part of the question and I happen to have a heap, I would use built-in. Personally, I think heapify is important. It's O(n) vs O(nlogn) if you heappush everything. It shows that you didn't read the docs on heapq, which has fewer than 10 methods. Not a dealbreaker, but could be a tie breaker.
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I don't see any issue in using standard functions as long as you know how it works under the hood. And you are able to write it on its own in case the interviewer wants you to do it.
W3Schools
w3schools.com › python › ref_module_heapq.asp
Python heapq Module
The heapq module provides heap (priority queue) algorithms on regular Python lists.
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 - Related Article: How To Replace Text with Regex In Python · We can convert an existing list into a heap using the heapify() function. This function rearranges the elements of the list to satisfy the heap property.
Educative
educative.io › answers › what-is-the-heapqheapify-module-in-python
What is the heapq.heapify() module in Python?
The heapq module is an inbuilt module in Python that offers APIs for different operations of the heap data structure. The module provides min-heap implementation where the key of the parent is less than or equal to those of its children.
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Heap queue (or heapq) in Python - Prutor.ai
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Jython
jython.org › jython-old-sites › docs › library › heapq.html
8.4. heapq — Heap queue algorithm — Jython v2.5.2 documentation
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! To create a heap, use a list initialized to [], or you can transform a populated list into a heap via function heapify(). The following functions are provided: heapq.heappush(heap, item) Push the value item onto the heap, maintaining the heap invariant.
Real Python
realpython.com › python-heapq-module
The Python heapq Module: Using Heaps and Priority Queues – Real Python
July 18, 2022 - In this step-by-step tutorial, you'll explore the heap and priority queue data structures. You'll learn what kinds of problems heaps and priority queues are useful for and how you can use the Python heapq module to solve them.
GeeksforGeeks
geeksforgeeks.org › python › heapq-with-custom-predicate-in-python
Heapq with custom predicate in Python - GeeksforGeeks
July 23, 2025 - Here, we override the relational operator '<' such that it compares the years of service of each employee and returns true or false. Based on the returned boolean value, heapq module arranges the objects in min-heap order. Python3 ·
Real Python
realpython.com › lessons › heapq-and-priorityqueue
heapq and PriorityQueue (Video) – Real Python
In the previous lesson, I showed you two ways of using the built-in list type as a priority queue. In this lesson, I’ll introduce you to heapq and the queue library’s PriorityQueue object. Heap queues are based on heaps. A heap is a special form of…
Published May 11, 2021
Python documentation
docs.python.org › 3 › whatsnew › 3.14.html
What’s new in Python 3.14
February 23, 2026 - The heapq module has improved support for working with max-heaps, via the following new functions:
Chennai Mathematical Institute
cmi.ac.in › ~madhavan › courses › prog2-2015 › docs › python-3.4.2-docs-html › library › heapq.html
8.5. heapq — Heap queue algorithm — Python 3.4.2 documentation
The Python Standard Library » · 8. Data Types » · Source code: Lib/heapq.py · This module provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. Heaps are binary trees for which every parent node has a value less than or equal to any of its children.
DEV Community
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Understanding Python's heapq Module - DEV Community
September 19, 2024 - The heapq module provides functions to perform heap operations on a regular Python list.