![]() Code language: Python ( python ) Getting the size of the queue To get an item from the queue and block with a time limit, you can use the get() method with a timeout: try: # handle exception Code language: Python ( python ) To get an item from the queue without blocking, you can set the block parameter to False: try: The get() method will block until an item is available for retrieval from the queue. To get an item from the queue, you can use the get() method: item = queue.get() Code language: Python ( python ) ![]() # handle exceptoin Code language: Python ( python ) Getting an item from the queue To add an item to a sized limited queue and block with a timeout, you can use the timeout parameter like this: try: # handle exceptoin Code language: Python ( python ) In this case, the put() method will raise the queue.Full exception if the queue is full: try: If you don’t want the put() method to block if the queue is full, you can set the block argument to False: queue.put(item, block= False) Code language: Python ( python ) The call to the put() method will block until the queue has space available. Once the queue is full, you cannot add an item to the queue. Queue.add(item) Code language: Python ( python ) To add an item to the queue, you use the put() method like this: #. Queue = Queue(maxsize= 10) Code language: Python ( python ) Adding an item to the queue For example, the following creates a queue that can store up to 10 items: from queue import Queue To create a queue with a size limit, you can use the maxsize parameter. Queue = Queue() Code language: Python ( python ) To create a new queue, you use the Queue constructor as follows: from queue import Queue The Queue class in the queue module implements all required locking semantics. ![]() The built-in queue module allows you to exchange data safely between multiple threads. Introduction to the Python thread-safe queue Summary: in this tutorial, you’ll learn how to use a synchronized queue to exchange data safely between multiple threads.
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