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📝 Update markdown includes format (#1254)
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docs/advanced/decimal.md

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@@ -33,45 +33,7 @@ For the database, **SQLModel** will use <a href="https://docs.sqlalchemy.org/en/
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Let's say that each hero in the database will have an amount of money. We could make that field a `Decimal` type using the `condecimal()` function:
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```Python
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Here we are saying that `money` can have at most `5` digits with `max_digits`, **this includes the integers** (to the left of the decimal dot) **and the decimals** (to the right of the decimal dot).
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When creating new models you can actually pass normal (`float`) numbers, Pydantic will automatically convert them to `Decimal` types, and **SQLModel** will store them as `Decimal` types in the database (using SQLAlchemy).
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## Select Decimal data
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Then, when working with Decimal types, you can confirm that they indeed avoid those rounding errors from floats:
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## Review the results
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