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2 changes: 2 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -16,6 +16,8 @@
* [Doc] Added more details to the SQL parametrization user guide. ([#288](https://github.com/ploomber/jupysql/issues/288))
* [Doc] Snowflake integration guide ([#384](https://github.com/ploomber/jupysql/issues/384))
* [Doc] User guide on using JupySQL in `.py` scripts ([#449](https://github.com/ploomber/jupysql/issues/449))
* [Doc] Added `%magic?` to APIs and quickstart ([#97](https://github.com/ploomber/jupysql/issues/97))


## 0.7.8 (2023-06-01)

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4 changes: 4 additions & 0 deletions doc/api/magic-plot.md
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Expand Up @@ -52,6 +52,10 @@ if not Path("penguins.csv").is_file():
SELECT * FROM "penguins.csv" LIMIT 3
```

```{note}
You can view the documentation and command line arguments by running `%sqlplot?`
```

## `%sqlplot boxplot`


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4 changes: 4 additions & 0 deletions doc/api/magic-profile.md
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Expand Up @@ -21,6 +21,10 @@ myst:

`%sqlcmd profile` allows you to obtain summary statistics of a table quickly. The code used here is compatible with all major databases.

```{note}
You can view the documentation and command line arguments by running `%sqlcmd?`
```

Arguments:

`-t`/`--table` (Required) Get the profile of a table
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4 changes: 4 additions & 0 deletions doc/api/magic-render.md
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Expand Up @@ -24,6 +24,10 @@ myst:

`%sqlrender` helps you compose large SQL queries.

```{note}
You can view the documentation and command line arguments by running `%sqlrender?`
```

```{code-cell} ipython3
%load_ext sql
```
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4 changes: 4 additions & 0 deletions doc/api/magic-sql.md
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Expand Up @@ -19,6 +19,10 @@ myst:

# `%sql`/`%%sql`

```{note}
You can view the documentation and command line arguments by running `%sql?`
```

``-l`` / ``--connections``
List all active connections ([example](#list-connections))

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2 changes: 1 addition & 1 deletion doc/quick-start.md
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Expand Up @@ -50,7 +50,7 @@ conda install jupysql -c conda-forge
## Setup

```{tip}
If you are unfamiliar with Jupyter magics, you can refer to our [FAQ](user-guide/FAQ.md#what-is-a-magic)
If you are unfamiliar with Jupyter magics, you can refer to our [FAQ](user-guide/FAQ.md#what-is-a-magic). Also, you can view the documentation and command line arguments of any magic command by running `%magic?` like `%sql?` or `%sqlplot?`.
```


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