Asyncio.create_task

As explained in Building LLM Applications with DSPy

asyncio.create_task schedules a coroutine to run as an asyncio task.

task1 = asyncio.create_task(func1())
task2 = asyncio.create_task(func2())
a = await task1
b = await task2
print(a, b)

How Building LLM Applications with DSPy covers it

How deep it goes

Defines task creation and awaiting, but does not detail task lifecycle internals.

Examples

Uses func1 and func2 with different asyncio.sleep durations, then awaits both task results.

What it assumes

Assumes familiarity with coroutines and awaitable objects.

What you can do after

Apply asyncio.create_task to schedule coroutines and await their results.

How it connects

Connects coroutines and await expressions with the asyncio event loop and asyncio.gather.

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Also explained in

• 

  liveBookmanning.com
  Python Concurrency with asyncioasyncio.create_task is an asyncio function that schedules a coroutine for concurrent execution and returns a task representing it.

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Related concepts

• taskproduces · A task is a defined unit of work, computation, or action directed toward a result or objective.
• asynciouses · asyncio is Python’s standard-library framework for asynchronous programming, built around coroutines, awaitable objects, and event loops.
• asyncio.gatheralternative to · asyncio.gather is a Python asyncio function that runs multiple awaitable objects concurrently, waits for them to complete, and collects their results.
• concurrencyused by · Concurrency is the structuring or execution of multiple computational activities so their progress overlaps in time, whether or not they run simultaneously.
• asynchronous programmingused by · Asynchronous programming is an execution approach in which operations can progress independently without requiring the initiating flow to wait for their completion or an immediate response.
• comprehensionused by · A comprehension is a language construct that creates a collection by iterating over one or more sources, optionally filtering elements and transforming them.

This explainer was generated by Manning's knowledge graph from the text of Building LLM Applications with DSPy. The section links point to the parts of the book it draws on.