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Python 3.10 support for v1.1+ #1328

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Apr 13, 2022
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Python 3.10 support for v1.1+ #1328

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3a0d137
Note py310 support for v1.1+
jtcohen6 Apr 12, 2022
02b4376
Add note to v1.1 migration guide
jtcohen6 Apr 13, 2022
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1 change: 1 addition & 0 deletions website/docs/docs/guides/migration-guide/upgrading-to-v1.1.md
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Expand Up @@ -36,6 +36,7 @@ _Note: If you're contributing docs for a new or updated feature in v1.1, please

- [**Incremental models**](configuring-incremental-models) can now accept a list of multiple columns as their `unique_key`, for models that need a combination of columns to uniquely identify each row. This is supported by the most common data warehouses, for incremental strategies that make use of the `unique_key` config (`merge` and `delete+insert`).
- [**Generic tests**](resource-properties/tests) can define custom names. This is useful to "prettify" the synthetic name that dbt applies automatically. It's needed to disambiguate the case when the same generic test is defined multiple times with different configurations.
- [Python compatibility](install-python-compatibility): dbt Core officially supports Python 3.10

### For users of specific adapter plugins

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14 changes: 12 additions & 2 deletions website/docs/faqs/install-python-compatibility.md
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@@ -1,9 +1,19 @@
---
title: What version of Python can I use?
description: "Python versions 3.7, 3.8, and 3.9 can be used with dbt Core"
description: "Python versions 3.7 and newer can be used with dbt Core"
---

As of v1.0.0, `dbt-core` is compatible with Python versions 3.7, 3.8, and 3.9.
<VersionBlock firstVersion="1.1">

The latest version of `dbt-core` is compatible with Python versions 3.7, 3.8, 3.9, and 3.10.

</VersionBlock>

<VersionBlock lastVersion="1.0">

As of v1.0, `dbt-core` is compatible with Python versions 3.7, 3.8, and 3.9.

</VersionBlock>

Adapter plugins and their dependencies are not always compatible with the latest version of Python. For example, dbt-snowflake v0.19 is not compatible with Python 3.9, but dbt-snowflake versions 0.20+ are.

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