파이썬이 **데이터 사이언스**, 머신러닝과 특히 딥러닝에 의 주된 언어라는 간단한 사실에 더해서, 이것은 FastAPI를 데이터 사이언스 / 머신러닝 웹 API와 응용프로그램에 (다른 것들보다) 좋은 선택지가 되게 합니다.

배포시 병렬을 어떻게 가능하게 하는지 알고싶다면, [배포](deployment/index.md){.internal-link target=_blank}문서를 참고하십시오.

## `async`와  `await`

최신 파이썬 버전에는 비동기 코드를 정의하는 매우 직관적인 방법이 있습니다. 이는 이것을 평범한 "순차적" 코드로 보이게 하고, 적절한 순간에 당신을 위해 "대기"합니다.

    Arrays.fill(result, oldSize, newSize, ABSENT);
    return result;
  }

  @Override
  public int size() {
    return size;
  }

  /**
   * Ensures that all of the internal structures in the HashBiMap are ready for this many elements.
   */
  private void ensureCapacity(int minCapacity) {
    if (nextInBucketKToV.length < minCapacity) {
      int oldCapacity = nextInBucketKToV.length;

        call can greatly improve performance on TPUs or small models with a
        large Python overhead.
    *   A **major refactoring** of the internals of the Keras Functional API may
        affect code that is relying on certain internal details:
    *   Code that uses `isinstance(x, tf.Tensor)` instead of `tf.is_tensor` when
        checking Keras symbolic inputs/outputs should switch to using

   * any values at all. Because of this optimization, {@code build.getValueStrength()} must be
   * {@link Strength#STRONG}.
   *
   * <p>This method is intended to only be used by the internal implementation of {@link Interners},
   * since a map of dummy values is the exact use case there.
   */
  static <K>
      MapMakerInternalMap<K, Dummy, ? extends InternalEntry<K, Dummy, ?>, ?> createWithDummyValues(

   */
  @GwtIncompatible // java.util.regex
  public static Splitter on(Pattern separatorPattern) {
    return onPatternInternal(new JdkPattern(separatorPattern));
  }

  /** Internal utility; see {@link #on(Pattern)} instead. */
  static Splitter onPatternInternal(final CommonPattern separatorPattern) {
    checkArgument(
        !separatorPattern.matcher("").matches(),

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.util.concurrent.Futures.immediateCancelledFuture;
import static com.google.common.util.concurrent.Internal.toNanosSaturated;
import static com.google.common.util.concurrent.MoreExecutors.directExecutor;
import static com.google.common.util.concurrent.Platform.restoreInterruptIfIsInterruptedException;

package com.google.common.util.concurrent;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.util.concurrent.Internal.toNanosSaturated;
import static java.lang.Math.max;
import static java.util.concurrent.TimeUnit.MICROSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.Beta;

🤔 🌖 🔃 ⚫️, 👀 📄 <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">📇</a>.

## 📦 🔗

⚙️ Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - 📧 🔬.

⚙️ 💃:

כדי להבין עוד על הנושא, ראו את הפרק <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## תלויות אופציונליות

בשימוש Pydantic:

## Install `SQLModel`

First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install `sqlmodel`:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## Create the App with a Single Model