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docs/en/docs/fastapi-people.md
They have proven to be **FastAPI Experts** by helping many others. ✨ !!! tip You could become an official FastAPI Expert too! Just [help others with questions in GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank}. 🤓 You can see the **FastAPI Experts** for:
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docs/hu/docs/index.md
--- "_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
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docs/en/docs/help-fastapi.md
In many cases you might already know the answer for those questions. 🤓 If you are helping a lot of people with their questions, you will become an official [FastAPI Expert](fastapi-people.md#fastapi-experts){.internal-link target=_blank}. 🎉
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docs/en/docs/tutorial/dependencies/index.md
Integrations and "plug-ins" can be built using the **Dependency Injection** system. But in fact, there is actually **no need to create "plug-ins"**, as by using dependencies it's possible to declare an infinite number of integrations and interactions that become available to your *path operation functions*.
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README.md
--- "_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
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docs/en/docs/index.md
--- "_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
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docs/en/docs/tutorial/sql-databases.md
{!../../../docs_src/sql_databases/sql_app/models.py!} ``` ### Create the relationships Now create the relationships. For this, we use `relationship` provided by SQLAlchemy ORM. This will become, more or less, a "magic" attribute that will contain the values from other tables related to this one. ```Python hl_lines="2 15 26" {!../../../docs_src/sql_databases/sql_app/models.py!} ```
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