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docs/fr/docs/async.md
### Concurrence + Parallélisme : Web + Machine Learning Avec **FastAPI** vous pouvez bénéficier de la concurrence qui est très courante en développement web (c'est l'attrait principal de NodeJS).
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sun Aug 31 09:56:21 GMT 2025 - 25.4K bytes - Click Count (0) -
docs/es/docs/async.md
### Concurrencia + Paralelismo: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 10:15:01 GMT 2025 - 25.4K bytes - Click Count (0) -
docs/pt/docs/deployment/docker.md
Se sua aplicação for **simples**, isso provavelmente **não será um problema**, e você pode não precisar especificar limites de memória rígidos. Mas se você estiver **usando muita memória** (por exemplo, com **modelos de aprendizado de máquina**), deve verificar quanta memória está consumindo e ajustar o **número de contêineres** que executa em **cada máquina** (e talvez adicionar mais máquinas ao seu cluster).
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Nov 12 16:23:57 GMT 2025 - 32.1K bytes - Click Count (0) -
docs/changelogs/changelog_3x.md
* **OkHttp now does cookies.** We've replaced `java.net.CookieHandler` with a new interface, `CookieJar` and added our own `Cookie` model class. This new cookie follows the latest RFC and supports the same cookie attributes as modern web browsers. * **Form and Multipart bodies are now modeled.** We've replaced the opaque `FormEncodingBuilder` with the more powerful `FormBody` and
Created: Fri Dec 26 11:42:13 GMT 2025 - Last Modified: Sun Feb 06 14:55:54 GMT 2022 - 50.8K bytes - Click Count (0) -
compat/maven-model/src/main/java/org/apache/maven/model/merge/ModelMerger.java
import org.apache.maven.model.DistributionManagement; import org.apache.maven.model.Exclusion; import org.apache.maven.model.Extension; import org.apache.maven.model.FileSet; import org.apache.maven.model.InputLocation; import org.apache.maven.model.IssueManagement; import org.apache.maven.model.License; import org.apache.maven.model.MailingList; import org.apache.maven.model.Model; import org.apache.maven.model.ModelBase;
Created: Sun Dec 28 03:35:09 GMT 2025 - Last Modified: Thu Apr 03 11:21:39 GMT 2025 - 99.2K bytes - Click Count (0) -
RELEASE.md
* `Model.fit_generator`, `Model.evaluate_generator`, `Model.predict_generator`, `Model.train_on_batch`, `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect the `run_eagerly` property, and will correctly run using `tf.function` by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3) -
docs/en/docs/release-notes.md
@app.get("/items/") async def read_items(filter_query: Annotated[FilterParams, Query()]): return filter_query ``` Read the new docs: [Query Parameter Models](https://fastapi.tiangolo.com/tutorial/query-param-models/). #### `Header` Parameter Models Use Pydantic models for `Header` parameters: ```python from typing import Annotated from fastapi import FastAPI, Header from pydantic import BaseModel
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 27 19:06:15 GMT 2025 - 586.7K bytes - Click Count (0)