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Asyncio practice problems in Python
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asyncio
typing
stdlib
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Showing 15 of 15
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Title
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Category
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aclosing: release the connection on break, error and cancellation
Hard
Primitives
contextlib
asyncio
async-generators
resources
stdlib
A Fetcher Protocol three implementations can satisfy
Medium
Primitives
asyncio
protocols
typing
generics
concurrency
asyncify: a ParamSpec wrapper that does not block the loop
Medium
Primitives
asyncio
paramspec
threading
executors
concurrency
BackgroundTasks: strong references, and a drain that raises
Medium
Primitives
asyncio
tasks
garbage-collection
error-handling
concurrency
Capstone: a fully typed, cancellable, observable async worker pool
Hard
End-to-End
asyncio
backpressure
taskgroup
cancellation
contextvars
capstone
Capstone: a typed, cancellable, observable worker pool
Hard
End-to-End
asyncio
taskgroup
backpressure
cancellation
generics
concurrency
Deadline: one budget, many nested scopes
Medium
Primitives
asyncio
timeouts
cancellation
retries
concurrency
Detecting leaked tasks and forcing a race
Medium
End-to-End
asyncio
threading
testing
determinism
task-leaks
fetch_all: structured fan-out with TaskGroup
Medium
Primitives
asyncio
taskgroup
exception-groups
generics
concurrency
Placement 5/6: async cancellation
Hard
Primitives
asyncio
cancellation
concurrency
typing
placement
process_stream: a bounded pipeline that cannot hang
Medium
Primitives
asyncio
queue
backpressure
taskgroup
concurrency
request_context: an id that survives tasks and threads
Medium
Primitives
contextvars
asyncio
threading
observability
concurrency
run_sync: the sync boundary a library should expose
Easy
Primitives
asyncio
event-loop
generics
typing
concurrency
Service.serve: a shutdown that is bounded and returns
Hard
End-to-End
asyncio
shutdown
cancellation
literal-types
concurrency
with_cleanup: bounded cleanup on every exit path
Hard
Primitives
asyncio
cancellation
timeouts
generics
concurrency