February 23, 2026 - Source code: Lib/queue.py The queue module implements multi-producer, multi-consumer queues. It is especially useful in threaded programming when information must be exchanged safely between multip...

import logging import queue import threading import time logging.basicConfig(level=logging.INFO, format="%(threadName)s %(message)s") def worker(tasks): while True: task = tasks.get() if task is None: tasks.task_done() break logging.info(f"processing {task}") time.sleep(1) tasks.task_done() tasks = queue.Queue() for task in ["task1", "task2", "task3", "task4", "task5"]: tasks.put(task) num_workers = 2 for _ in range(num_workers): tasks.put(None) threads = [ threading.Thread(target=worker, args=(tasks,)) for _ in range(num_workers) ] for thread in threads: thread.start() tasks.join() for thread in threads: thread.join() # Output: # Thread-1 (worker) processing task1 # Thread-2 (worker) processing task2 # Thread-1 (worker) processing task3 # Thread-2 (worker) processing task4 # Thread-1 (worker) processing task5

December 11, 2025 - Explanation: popleft() efficiently removes the first element without shifting, making deque ideal for queues. Python’s queue module provides a thread-safe FIFO queue. You can specify a maxsize.

February 22, 2026 - Source code: Lib/asyncio/queues.py asyncio queues are designed to be similar to classes of the queue module. Although asyncio queues are not thread-safe, they are designed to be used specifically i...

March 27, 2024 - Python provides a queue module in the standard library that has different queue implementations for programmers to use in their applications.

Queues are often mentioned together with Stacks, which is a similar data structure described on the previous page. For Python lists (and arrays), a Queue can look and behave like this:

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 Certificate Python Training · ❮ Standard Library Modules · Create a FIFO queue, put an item, then get it back: import queue q = queue.Queue() q.put('task1') print(q.get()) Try it Yourself » ·

December 1, 2023 - To get the most out of this tutorial, you should be familiar with Python’s sequence types, such as lists and tuples, and the higher-level collections in the standard library. You can download the complete source code for this tutorial with the associated sample data by clicking the link in the box below: Get Source Code: Click here to get access to the source code and sample data that you’ll use to explore queues in Python.

from rq.repeat import Repeat # Repeat job 3 times after successful completion, with 60 second intervals job = queue.enqueue(say_hello, repeat=Repeat(times=3, interval=60)) # Use different intervals between repetitions job = queue.enqueue(say_hello, repeat=Repeat(times=3, interval=[10, 30, 60]))

February 26, 2020 - In Python, we can use the queue module to create a queue of objects. This is a part of the standard Python library, so there’s no need to use pip.

March 5, 2026 - A queue is a built-in module of python used in threaded programming. It stores items sequentially in a FIFO manner. Learn all about the queue in python now!

CodeLens 1 shows the Queue class in action as we perform the sequence of operations from Table 1. Activity: CodeLens Example Queue Operations (ququeuetest)

May 10, 2001 - File: queue-example-1.py import threading import Queue import time, random WORKERS = 2 class Worker(threading.Thread): def _ _init_ _(self, queue): self._ _queue = queue threading.Thread._ _init_ _(self) def run(self): while 1: item = self._ _queue.get() if item is None: break # reached end of queue # pretend we're doing something that takes 10—100 ms time.sleep(random.randint(10, 100) / 1000.0) print "task", item, "finished" # # try it queue = Queue.Queue(0) for i in range(WORKERS): Worker(queue).start() # start a worker for i in range(10): queue.put(i) for i in range(WORKERS): queue.put(None) # add end-of-queue markers task 1 finished task 0 finished task 3 finished task 2 finished task 4 finished task 5 finished task 7 finished task 6 finished task 9 finished task 8 finished

November 15, 2017 - Source code: Lib/queue.py The queue module implements multi-producer, multi-consumer queues. It is especially useful in threaded programming when information must be exchanged safely between multip...

June 29, 2023 - In your console window, navigate ... Storage client library - Python quickstart sample Creating queue: quickstartqueues-<UUID> Adding messages to the queue......

from rq import cron from myapp import send_newsletter, backup_database # Database backup every day at 3:00 AM cron.register( backup_database, queue_name='maintenance', cron_string='0 3 * * *' ) # Monthly report on the first day of each month at 8:00 AM cron.register( generate_monthly_report, queue_name='reports', cron_string='0 8 1 * *' ) ```python More details on functionality can be found in the [docs](https://python-rq.org/docs/cron/).

December 18, 2020 - If it is an integer greater than 0, then yield from put() will block when the queue reaches maxsize, until an item is removed by get(). Unlike the standard library queue, you can reliably know this Queue’s size with qsize(), since your single-threaded asyncio application won’t be interrupted between calling qsize() and doing an operation on the Queue.

In this single-threaded example, the jobs are pulled out of the queue in strictly priority order. If there were multiple threads consuming the jobs, they would be processed based on the priority of items in the queue at the time get() was called. $ python Queue_priority.py New job: Mid-level ...

October 14, 2025 - There are Four types of queues in Python. They are: ... In the first-in-first-out queue, the first tasks added are the first retrieved. It is just like putting the element inside an open cylinder. Before we move ahead, we need to import one library called a queue.