But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".

## Conclusion { #conclusion }

Let's see the same phrase from above:

> Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.

* der `APIRouter`
* die `requirements.txt`
* das Bearer-Token
* der Breaking Change
* der Bug
* der Button
* das Callable
* der Code
* der Commit
* der Contextmanager
* die Coroutine
* die Datenbanksession
* die Festplatte
* die Domain
* die Engine
* das Fake-X
* die HTTP-GET-Methode
* das Item
* die Bibliothek
* der Lifespan
* der Lock
* die Middleware

* SDK
* software development kit

* `APIRouter`
* `requirements.txt`
* Bearer Token
* breaking change
* bug
* button
* callable
* code
* commit
* context manager
* coroutine
* database session
* disk
* domain
* engine
* fake X
* HTTP GET method
* item
* library
* lifespan
* lock
* middleware
* mobile application
* module
* mounting
* network

	if err != nil {
		rebalanceLogIf(ctx, fmt.Errorf("invalid workers value err: %v, defaulting to %d", err, len(pool.sets)))
		workerSize = len(pool.sets)
	}

	// Each decom worker needs one List() goroutine/worker
	// add that many extra workers.
	workerSize += len(pool.sets)

	wk, err := workers.New(workerSize)
	if err != nil {
		return err
	}

	for setIdx, set := range pool.sets {

Aber all diese Funktionalität der Verwendung von asynchronem Code mit `async` und `await` wird oft als Verwendung von „Coroutinen“ zusammengefasst. Es ist vergleichbar mit dem Hauptmerkmal von Go, den „Goroutinen“.

## Fazit { #conclusion }

Sehen wir uns den gleichen Satz von oben noch mal an:

const csvSplitSize = 128 << 10

// startReaders will read the header if needed and spin up a parser
// and a number of workers based on GOMAXPROCS.
// If an error is returned no goroutines have been started and r.err will have been set.
func (r *Reader) startReaders(newReader func(io.Reader) *csv.Reader) error {
	if r.args.FileHeaderInfo != none {
		// Read column names
		// Get one line.

* the `APIRouter`
* the `requirements.txt`
* the Bearer Token
* the breaking change
* the bug
* the button
* the callable
* the code
* the commit
* the context manager
* the coroutine
* the database session
* the disk
* the domain
* the engine
* the fake X
* the HTTP GET method
* the item
* the library
* the lifespan
* the lock
* the middleware

- kube-apiserver: fixed a bug that could cause a goroutine leak if the apiserver encountered an encoding error serving a watch to a websocket watcher ([#84693](https://github.com/kubernetes/kubernetes/pull/84693), [@tedyu](https://github.com/tedyu))

					// may synchronously trigger a Go event handler. This makes Go code get executed in the middle of the imported
					// function. A goroutine can switch to a new stack if the current stack is too small (see morestack function).
					// This changes the SP, thus we have to update the SP used by the imported function.

					// func wasmExit(code int32)

		err = mg.bucketLoader(GlobalContext, metricValues, mg.cache, mg.buckets)
	} else {
		err = mg.loader(GlobalContext, metricValues, mg.cache)
	}

	// There is no way to handle errors here, so we panic the current goroutine
	// and the Metrics API handler returns a 500 HTTP status code. This should
	// normally not happen, and usually indicates a bug.
	logger.CriticalIf(GlobalContext, errors.Wrap(err, "failed to get metrics"))