`FastAPI` is eigenlijk een subklasse van `Starlette`. Dus als je Starlette al kent of gebruikt, zal de meeste functionaliteit op dezelfde manier werken.

Met **FastAPI** krijg je alle functies van **Starlette** (FastAPI is gewoon Starlette op steroïden):

## Ports {#ports}

### Linux {#linux}

As [announced](go1.23#linux) in the Go 1.23 release notes, Go 1.24 requires Linux
kernel version 3.2 or later.

### WebAssembly {#wasm}

      tar -C "${TARGET}" -xvzf "libc6-dev_2.17-0ubuntu5.1_amd64/data.tar.gz" && \
      rm -rf "libc6-dev_2.17-0ubuntu5.1_amd64.deb" "libc6-dev_2.17-0ubuntu5.1_amd64"
  ;;
esac

# Put the current kernel headers from ubuntu in place.
ln -s "/usr/include/linux" "/${TARGET}/usr/include/linux"
ln -s "/usr/include/asm-generic" "/${TARGET}/usr/include/asm-generic"
ln -s "/usr/include/x86_64-linux-gnu/asm" "/${TARGET}/usr/include/asm"

//// tab | Linux, macOS

Stel dat je Python installeert en het komt terecht in de map `/opt/custompython/bin`.

Als je kiest om de `PATH` omgevingsvariabele bij te werken, zal het installatieprogramma `/opt/custompython/bin` toevoegen aan de `PATH` omgevingsvariabele.

Dit zou er zo uit kunnen zien:

```plaintext
/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/custompython/bin
```

   *       then sequentially accessing it could result in other processes dying. This is solvable
   *       via madvise(2), but that obviously doesn't exist in java.
   *   <li>Ordinary copy. Kernel copies bytes into a kernel buffer, from a kernel buffer into a
   *       userspace buffer (byte[] or ByteBuffer), then copies them from that buffer into the
   *       destination channel.
   * </ol>
   *

		_ = setMaxResources(globalServerCtxt)
	})

	// Verify kernel release and version.
	if oldLinux() {
		warnings = append(warnings, color.YellowBold("Detected Linux kernel version older than 4.0 release, there are some known potential performance problems with this kernel version. MinIO recommends a minimum of 4.x linux kernel version for best performance"))
	}

	maxProcs := runtime.GOMAXPROCS(0)

  // TODO(tfrt-devs): Figure out a way to deprecate following features after
  // migrated to TFRT.
  //===--------------------------------------------------------------------===//
  // Clear pending nodes in thread executors and kernel caches.
  virtual void ClearCachesAndThreadExecutors() = 0;

  // Initialize the step resource container for a training step. This is used
  // in current TF runtime. For tfrt, it is used by fallback op handler.

	if err != nil {
		buf, err = os.ReadFile(cgroupV1MemLimitFile)
	}
	if err != nil {
		return 0
	}
	limit, err = strconv.ParseUint(strings.TrimSpace(string(buf)), 10, 64)
	if err != nil {
		// The kernel can return valid but non integer values
		// but still, no need to interpret more
		return 0
	}
	if limit >= 100*humanize.TiByte {
		// No limit set, or unreasonably high. Ignore
		return 0
	}
	return limit
}

Go 1.22 changed how the runtime interacts with transparent huge pages on Linux.
In particular, a common default Linux kernel configuration can result in
significant memory overheads, and Go 1.22 no longer works around this default.
To work around this issue without adjusting kernel settings, transparent huge
pages can be disabled for Go memory with the
[`disablethp` setting](/pkg/runtime#hdr-Environment_Variable).

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],