asyncio

*:mod:`asyncio` now uses double linked list implementation for native tasks

which speeds up execution by 10% on standard pyperformance benchmarks and

reduces memory usage.

*:mod:`asyncio` has a new per-thread double linked list implementation internally for

:class:`native tasks <asyncio.Task>` which speeds up execution by 10-20% on standard

pyperformance benchmarks and reduces memory usage.

This enables external introspection tools such as

:ref:`python -m asyncio pstree<whatsnew314-asyncio-introspection>`

to introspect the call graph of asyncio tasks running in all threads.

(Contributed by Kumar Aditya in:gh:`107803`.)

*:mod:`asyncio` has first class support for:term:`free-threading builds <free threading>`.

This enables parallel execution of multiple event loops across different threads and scales

linearly with the number of threads.

(Contributed by Kumar Aditya in:gh:`128002`.)

*:mod:`asyncio` has new utility functions for introspecting and printing

the program's call graph::func:`asyncio.capture_call_graph` and

:func:`asyncio.print_call_graph`.

*:class:`asyncio.WindowsProactorEventLoopPolicy`

*:func:`asyncio.get_event_loop_policy`

*:func:`asyncio.set_event_loop_policy`

*:func:`asyncio.set_event_loop`

Users should use:func:`asyncio.run` or:class:`asyncio.Runner` with

*loop_factory* to use the desired event loop implementation.