[3.14] pythongh-138072: Fix typos and grammatical errors and improve clarity in asyncio howto document (pythonGH-138895) (python#140091)

Co-authored-by: Morteza24 <[email protected]>

Author: miss-islington

Doc/howto/a-conceptual-overview-of-asyncio.rst

@@ -9,12 +9,11 @@ model of how :mod:`asyncio` fundamentally works, helping you understand the
 how and why behind the recommended patterns.
 
 You might be curious about some key :mod:`!asyncio` concepts.
-You'll be comfortably able to answer these questions by the end of this
-article:
+By the end of this article, you'll be able to comfortably answer these questions:
 
 - What's happening behind the scenes when an object is awaited?
 - How does :mod:`!asyncio` differentiate between a task which doesn't need
-  CPU-time (such as a network request or file read) as opposed to a task that
+  CPU time (such as a network request or file read) as opposed to a task that
   does (such as computing n-factorial)?
 - How to write an asynchronous variant of an operation, such as
   an async sleep or database request.
@@ -35,7 +34,7 @@ A conceptual overview part 1: the high-level
 --------------------------------------------
 
 In part 1, we'll cover the main, high-level building blocks of :mod:`!asyncio`:
-the event loop, coroutine functions, coroutine objects, tasks and ``await``.
+the event loop, coroutine functions, coroutine objects, tasks, and ``await``.
 
 ==========
 Event Loop
@@ -56,7 +55,7 @@ Once it pauses or completes, it returns control to the event loop.
 The event loop will then select another job from its pool and invoke it.
 You can *roughly* think of the collection of jobs as a queue: jobs are added and
 then processed one at a time, generally (but not always) in order.
-This process repeats indefinitely with the event loop cycling endlessly
+This process repeats indefinitely, with the event loop cycling endlessly
 onwards.
 If there are no more jobs pending execution, the event loop is smart enough to
 rest and avoid needlessly wasting CPU cycles, and will come back when there's
@@ -276,7 +275,7 @@ in this case, a call to resume ``plant_a_tree()``.
 
 Generally speaking, when the awaited task finishes (``dig_the_hole_task``),
 the original task or coroutine (``plant_a_tree()``) is added back to the event
-loops to-do list to be resumed.
+loop's to-do list to be resumed.
 
 This is a basic, yet reliable mental model.
 In practice, the control handoffs are slightly more complex, but not by much.
@@ -310,7 +309,7 @@ Consider this program::
 The first statement in the coroutine ``main()`` creates ``task_b`` and schedules
 it for execution via the event loop.
 Then, ``coro_a()`` is repeatedly awaited. Control never cedes to the
-event loop which is why we see the output of all three ``coro_a()``
+event loop, which is why we see the output of all three ``coro_a()``
 invocations before ``coro_b()``'s output:
 
 .. code-block:: none
@@ -338,8 +337,8 @@ This behavior of ``await coroutine`` can trip a lot of people up!
 That example highlights how using only ``await coroutine`` could
 unintentionally hog control from other tasks and effectively stall the event
 loop.
-:func:`asyncio.run` can help you detect such occurences via the
-``debug=True`` flag which accordingly enables
+:func:`asyncio.run` can help you detect such occurrences via the
+``debug=True`` flag, which enables
 :ref:`debug mode <asyncio-debug-mode>`.
 Among other things, it will log any coroutines that monopolize execution for
 100ms or longer.
@@ -348,8 +347,8 @@ The design intentionally trades off some conceptual clarity around usage of
 ``await`` for improved performance.
 Each time a task is awaited, control needs to be passed all the way up the
 call stack to the event loop.
-That might sound minor, but in a large program with many ``await``'s and a deep
-callstack that overhead can add up to a meaningful performance drag.
+That might sound minor, but in a large program with many ``await`` statements and a deep
+call stack, that overhead can add up to a meaningful performance drag.
 
 ------------------------------------------------
 A conceptual overview part 2: the nuts and bolts
@@ -372,7 +371,7 @@ resume a coroutine.
 If the coroutine was paused and is now being resumed, the argument ``arg``
 will be sent in as the return value of the ``yield`` statement which originally
 paused it.
-If the coroutine is being used for the first time (as opposed to being resumed)
+If the coroutine is being used for the first time (as opposed to being resumed),
 ``arg`` must be ``None``.
 
 .. code-block::
@@ -403,14 +402,14 @@ If the coroutine is being used for the first time (as opposed to being resumed)
        returned_value = e.value
    print(f"Coroutine main() finished and provided value: {returned_value}.")
 
-:ref:`yield <yieldexpr>`, like usual, pauses execution and returns control
+:ref:`yield <yieldexpr>`, as usual, pauses execution and returns control
 to the caller.
 In the example above, the ``yield``, on line 3, is called by
 ``... = await rock`` on line 11.
 More broadly speaking, ``await`` calls the :meth:`~object.__await__` method of
 the given object.
 ``await`` also does one more very special thing: it propagates (or "passes
-along") any ``yield``\ s it receives up the call-chain.
+along") any ``yield``\ s it receives up the call chain.
 In this case, that's back to ``... = coroutine.send(None)`` on line 16.
 
 The coroutine is resumed via the ``coroutine.send(42)`` call on line 21.
@@ -462,12 +461,12 @@ computation's status and result.
 The term is a nod to the idea of something still to come or not yet happened,
 and the object is a way to keep an eye on that something.
 
-A future has a few important attributes. One is its state which can be either
-"pending", "cancelled" or "done".
+A future has a few important attributes. One is its state, which can be either
+"pending", "cancelled", or "done".
 Another is its result, which is set when the state transitions to done.
 Unlike a coroutine, a future does not represent the actual computation to be
 done; instead, it represents the status and result of that computation, kind of
-like a status light (red, yellow or green) or indicator.
+like a status light (red, yellow, or green) or indicator.
 
 :class:`asyncio.Task` subclasses :class:`asyncio.Future` in order to gain
 these various capabilities.
@@ -490,8 +489,8 @@ We'll go through an example of how you could leverage a future to create your
 own variant of asynchronous sleep (``async_sleep``) which mimics
 :func:`asyncio.sleep`.
 
-This snippet registers a few tasks with the event loop and then awaits a
-coroutine wrapped in a task: ``async_sleep(3)``.
+This snippet registers a few tasks with the event loop and then awaits the task
+created by ``asyncio.create_task``, which wraps the ``async_sleep(3)`` coroutine.
 We want that task to finish only after three seconds have elapsed, but without
 preventing other tasks from running.
 
@@ -540,8 +539,8 @@ will monitor how much time has elapsed and, accordingly, call
        # Block until the future is marked as done.
        await future
 
-Below, we'll use a rather bare object, ``YieldToEventLoop()``, to ``yield``
-from ``__await__`` in order to cede control to the event loop.
+Below, we use a rather bare ``YieldToEventLoop()`` object to ``yield``
+from its ``__await__`` method, ceding control to the event loop.
 This is effectively the same as calling ``asyncio.sleep(0)``, but this approach
 offers more clarity, not to mention it's somewhat cheating to use
 ``asyncio.sleep`` when showcasing how to implement it!
@@ -552,13 +551,13 @@ The ``watcher_task``, which runs the coroutine ``_sleep_watcher(...)``, will
 be invoked once per full cycle of the event loop.
 On each resumption, it'll check the time and if not enough has elapsed, then
 it'll pause once again and hand control back to the event loop.
-Eventually, enough time will have elapsed, and ``_sleep_watcher(...)`` will
-mark the future as done, and then itself finish too by breaking out of the
+Once enough time has elapsed, ``_sleep_watcher(...)``
+marks the future as done and completes by exiting its
 infinite ``while`` loop.
 Given this helper task is only invoked once per cycle of the event loop,
 you'd be correct to note that this asynchronous sleep will sleep *at least*
 three seconds, rather than exactly three seconds.
-Note this is also of true of ``asyncio.sleep``.
+Note this is also true of ``asyncio.sleep``.
 
 ::
 
@@ -601,6 +600,6 @@ For reference, you could implement it without futures, like so::
            else:
                await YieldToEventLoop()
 
-But, that's all for now. Hopefully you're ready to more confidently dive into
+But that's all for now. Hopefully you're ready to more confidently dive into
 some async programming or check out advanced topics in the
 :mod:`rest of the documentation <asyncio>`.