### Concorrência é melhor que paralelismo? { #is-concurrency-better-than-parallelism }

Não! Essa não é a moral da história.

  public void testNullPointers() {
    NullPointerTester tester = new NullPointerTester();
    tester.testAllPublicStaticMethods(ImmutableMap.class);
    tester.testAllPublicInstanceMethods(new ImmutableMap.Builder<Object, Object>());
    tester.testAllPublicInstanceMethods(ImmutableMap.of());
    tester.testAllPublicInstanceMethods(ImmutableMap.of("one", 1));
    tester.testAllPublicInstanceMethods(ImmutableMap.of("one", 1, "two", 2, "three", 3));

			if entry.name == current.name {
				topEntries[i] = entry
				continue
			}
			// We got different entries
			if entry.name > current.name {
				continue
			}
			// We got a new, better current.
			// Clear existing entries.
			for i := range topEntries[:i] {
				topEntries[i] = metaCacheEntry{}
			}
			agree = 1
			current = entry
			topEntries[i] = entry
		}

    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than
    // Dolphin. Reversal is about as good as Successive on average, and it is much simpler,
    // especially since we already have a `reverse` method.
    checkNotNull(array);

   * structure (to make it possible to throw ConcurrentModificationException in the iterator). Note
   * that we choose not to make this volatile, so we do less of a "best effort" to track such
   * errors, for better performance.
   *
   * <p>For a new instance, where the arrays above have not yet been allocated, the value of {@code
   * metadata} is the size that the arrays should be allocated with. Once the arrays have been

   *
   * <p>If {@code keys} is a {@link Set}, a live view can be obtained instead of a copy using {@link
   * Maps#asMap(Set, Function)}.
   *
   * <p><b>Note:</b> on Java 8+, it is usually better to use streams. For example:
   *
   * {@snippet :
   * import static com.google.common.collect.ImmutableMap.toImmutableMap;
   * ...
   * ImmutableMap<Color, String> colorNames =

   *
   * <p>If {@code keys} is a {@link Set}, a live view can be obtained instead of a copy using {@link
   * Maps#asMap(Set, Function)}.
   *
   * <p><b>Note:</b> on Java 8+, it is usually better to use streams. For example:
   *
   * {@snippet :
   * import static com.google.common.collect.ImmutableMap.toImmutableMap;
   * ...
   * ImmutableMap<Color, String> colorNames =

   * {@link TreeSet} or the {@link Map#keySet} of an {@code IdentityHashMap}.
   *
   * <p><b>Note:</b> The returned view performs slightly better when {@code set1} is the smaller of
   * the two sets. If you have reason to believe one of your sets will generally be smaller than the
   * other, pass it first. Unfortunately, since this method sets the generic type of the returned

   *
   * <p>If {@code expectedSize} is exactly the number of distinct elements added to the builder
   * before {@link Builder#build} is called, the builder is likely to perform better than an unsized
   * {@link #builder()} would have.
   *
   * <p>It is not specified if any performance benefits apply if {@code expectedSize} is close to,

Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).