In früheren Versionen von Python hätten Sie Threads oder <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a> verwenden können. Der Code ist jedoch viel komplexer zu verstehen, zu debuggen und nachzuvollziehen.

In früheren Versionen von NodeJS / Browser JavaScript hätten Sie „Callbacks“ verwendet. Was zur <a href="http://callbackhell.com/" class="external-link" target="_blank">Callback-Hölle</a> führt.

#### Debug builds

When [building Tensorflow](https://www.tensorflow.org/install/source), passing
`--config=dbg` to Bazel will build with debugging information and without
optimizations, allowing you to use GDB or other debuggers to debug C++ code. For
example, you can build the pip package with debugging information by running:

```bash
bazel build --config=dbg //tensorflow/tools/pip_package:build_pip_package
```

* **Intuitiv**: Exzellente Editor-Unterstützung. <abbr title="auch bekannt als Autovervollständigung, Autocompletion, IntelliSense">Code-Vervollständigung</abbr> überall. Weniger Debuggen.
* **Einfach**: So konzipiert, dass es einfach zu benutzen und zu erlernen ist. Weniger Zeit für das Lesen der Dokumentation.

ifeq ($(origin DEBUG), undefined)
  BUILDTYPE_DIR:=release
else ifeq ($(DEBUG),0)
  BUILDTYPE_DIR:=release
else
  BUILDTYPE_DIR:=debug
  export GCFLAGS:=all=-N -l
  $(info $(H) Build with debugger information)
endif

# Optional file including user-specific settings (HUB, TAG, etc)
-include .istiorc.mk

# Environment for tests, the directory containing istio and deps binaries.

	nargs[li] = "-O0"
	nargs = append(nargs, extraArgs...)
	nargs = append(nargs, last)

	if *debugGcc {
		fmt.Fprintf(os.Stderr, "$ %s <<EOF\n", strings.Join(nargs, " "))
		os.Stderr.Write(stdin)
		fmt.Fprint(os.Stderr, "EOF\n")
	}
	stdout, stderr, _ := run(stdin, nargs)
	if *debugGcc {
		os.Stderr.Write(stdout)
		os.Stderr.Write(stderr)
	}
	return string(stderr)
}

Dans les versions précédentes de Python, vous auriez utilisé des *threads* ou <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>.  Mais le code aurait été bien plus difficile à comprendre, débugger, et concevoir.

    Lite, supported by new `tf.contrib.quantize` package.
*   Easily customize gradient computation with `tf.custom_gradient`.
*   [TensorBoard Debugger Plugin](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/debugger/README.md),
    the graphical user interface (GUI) of TensorFlow Debugger (tfdbg), is now in
    alpha.
*   Experimental support for reading a sqlite database as a `Dataset` with new

- [`KT-55072`](https://youtrack.jetbrains.com/issue/KT-55072) K2: False positive "suspension point is inside a critical section"
- [`KT-58778`](https://youtrack.jetbrains.com/issue/KT-58778) JVM IR inline: add fake variables for debugger
- [`KT-59404`](https://youtrack.jetbrains.com/issue/KT-59404) K2: Missing EXPECT_TYPE_IN_WHEN_WITHOUT_ELSE

pkg runtime, type MemStats struct
pkg runtime, type MemStats struct, Alloc uint64
pkg runtime, type MemStats struct, BuckHashSys uint64
pkg runtime, type MemStats struct, BySize [61]struct
pkg runtime, type MemStats struct, DebugGC bool
pkg runtime, type MemStats struct, EnableGC bool
pkg runtime, type MemStats struct, Frees uint64
pkg runtime, type MemStats struct, HeapAlloc uint64
pkg runtime, type MemStats struct, HeapIdle uint64