Concurrent Task Execution in Python With Asyncio Is A Breeze

Concurrent Task Execution in Python With Asyncio Is A Breeze

the versatility of asyncio program is examined by looking at a very specific problem:Assume that there is a task list and each task is being worked on. When one or more tasks complete, another task or tasks should start.

Asyncio in Python is deceptively intuitive, and with its pseudo real time / event processing /single threaded nature allows most features of concurrent programming while avoiding or hiding most of the complexities associated with multi-threaded/multi-processing programming. In this article the versatility of asyncio program is examined by looking at a very specific problem:

Assume that there is a task list and each task is being worked on. When one or more tasks complete, another task or tasks should start. This is a very typical problem where there is a limit on the number of concurrent tasks in execution, but the number of tasks are not. Here is a contemporary example: Imagine the Covid 19 vaccine administration in a Parking lot. Four vaccination stations have been set up. Each station administers a vaccine shot which takes between 1-3 minutes. The task is to complete boxes of vaccines with each box having 100 doses.

Figure 1: Schematic of the parking lot vaccine administration

Let us see how Python asyncio will administer the shots! Before you get too eager, let me reveal and briefly discuss the real title of this article: 'Dynamic addition of new tasks to a list of awaited tasks'.

python covid python-top-story python3

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