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docs/en/docs/async.md
This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**. **Concurrency** and **parallelism** both relate to "different things happening more or less at the same time". But the details between *concurrency* and *parallelism* are quite different. To see the difference, imagine the following story about burgers: ### Concurrent Burgers
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docs/ru/docs/tutorial/path-params-numeric-validations.md
А также вы можете добавить валидацию числовых данных: * `gt`: больше (`g`reater `t`han) * `ge`: больше или равно (`g`reater than or `e`qual) * `lt`: меньше (`l`ess `t`han) * `le`: меньше или равно (`l`ess than or `e`qual) !!! info "Информация" `Query`, `Path` и другие классы, которые мы разберём позже, являются наследниками общего класса `Param`.
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docs/en/docs/tutorial/sql-databases.md
# SQL (Relational) Databases !!! info These docs are about to be updated. 🎉 The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0. The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well. **FastAPI** doesn't require you to use a SQL (relational) database.
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docs/en/docs/index.md
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging. * **Easy**: Designed to be easy to use and learn. Less time reading docs. * **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
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tests/test_path.py
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docs/en/docs/tutorial/body-updates.md
!!! note `PATCH` is less commonly used and known than `PUT`. And many teams use only `PUT`, even for partial updates. You are **free** to use them however you want, **FastAPI** doesn't impose any restrictions. But this guide shows you, more or less, how they are intended to be used. ### Using Pydantic's `exclude_unset` parameter
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docs/en/docs/deployment/docker.md
* Running on startup * Restarts * Replication (the number of processes running) * Memory * Previous steps before starting ## Memory If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).
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