**Eşzamanlılık** ve **paralellik**, "aynı anda az ya da çok olan farklı işler" ile ilgilidir.

Ancak *eşzamanlılık* ve *paralellik* arasındaki ayrıntılar oldukça farklıdır.


Farkı görmek için burgerlerle ilgili aşağıdaki hikayeyi hayal edin:

### Eşzamanlı Burgerler

<!-- Cinsiyetten bağımsız olan aşçı emojisi "🧑‍🍳" tarayıcılarda yeterince iyi görüntülenmiyor. Bu yüzden erken "👨‍🍳" ve kadın "👩‍🍳" aşçıları karışık bir şekilde kullanıcağım. -->

          C filtered = filter(createUnfiltered(contents), EVEN);
          try {
            assertEquals(expectedResult, filtered.add(toAdd));
            assertTrue(EVEN.apply(toAdd));
          } catch (IllegalArgumentException e) {
            assertFalse(EVEN.apply(toAdd));
          }
        }
      }
    }

    public void testRemove() {

	gf2MatrixSquare(odd, even)

	// apply len2 zeros to crc1 (first square will put the operator for one
	// zero byte, eight zero bits, in even)
	crc1n := uint64(crc1)
	for {
		// apply zeros operator for this bit of len2
		gf2MatrixSquare(even, odd)
		if len2&1 != 0 {
			crc1n = gf2MatrixTimes(even, crc1n)
		}
		len2 >>= 1

		// if no more bits set, then done
		if len2 == 0 {
			break

Wenn Sie jedoch den oben genannten Schritten folgen, können einige Performanz-Optimierungen vorgenommen werden.

## Technische Details { #technical-details }

Moderne Versionen von Python unterstützen **„asynchronen Code“** unter Verwendung sogenannter **„Coroutinen“** mithilfe der Syntax **`async` und `await`**.

Nehmen wir obigen Satz in den folgenden Abschnitten Schritt für Schritt unter die Lupe:

     * Even if empty string, treated as empty plainly. So "IF pmb != null" is false if empty.
     * @param hostname The parameter value of hostname. (NotNull)
     */
    public void setHostname(String hostname) {
        registerVariable("hostname", hostname);
    }

    /**
     * Set the value of jobname, used in parameter comment. <br>

        assertFalse(config.isUseBatching(), "Batching should be disabled");

        // Even with batching disabled, getBatchLimit should return a value
        int limit = config.getBatchLimit("TreeConnectAndX.Transaction");
        assertTrue(limit >= 0, "Batch limit should still return a value even when batching is disabled");
    }

    /**
     * Test configuration when Unicode is disabled
     */
    @Test

 * future frames won't arrive on the stream ID.
 */
interface PushObserver {
  /**
   * Describes the request that the server intends to push a response for.
   *
   * @param streamId server-initiated stream ID: an even number.
   * @param requestHeaders minimally includes `:method`, `:scheme`, `:authority`,
   * and `:path`.
   */
  fun onRequest(
    streamId: Int,
    requestHeaders: List<Header>,
  ): Boolean

  /**

@NullMarked
abstract class AbstractFilteredMapTest extends TestCase {
  private static final Predicate<@Nullable String> NOT_LENGTH_3 =
      input -> input == null || input.length() != 3;
  private static final Predicate<@Nullable Integer> EVEN = input -> input == null || input % 2 == 0;
  static final Predicate<Entry<String, Integer>> CORRECT_LENGTH =
      input -> input.getKey().length() == input.getValue();

  abstract Map<String, Integer> createUnfiltered();

**FastAPI** verwendet diese *vorübergehende* Response, um den Statuscode (auch Cookies und Header) zu extrahieren und fügt diese in die endgültige Response ein, die den von Ihnen zurückgegebenen Wert enthält, gefiltert nach einem beliebigen `response_model`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.