diff --git a/docs/tutorial/where.md b/docs/tutorial/where.md
index 5bc3139b57..5bc4057ef0 100644
--- a/docs/tutorial/where.md
+++ b/docs/tutorial/where.md
@@ -31,25 +31,7 @@ We'll continue with the same examples we have been using in the previous chapter
 
 And now we will update `select_heroes()` to filter the data.
 
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 If you already executed the previous examples and have a database with data, **remove the database file** before running each example, that way you won't have duplicate data and you will be able to get the same results.
 
@@ -201,97 +183,13 @@ Let's review some of the code we used to read data with **SQLModel**.
 
 We care specially about the **select** statement:
 
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+{* ./docs_src/tutorial/select/tutorial001_py310.py ln[34:39] hl[5] *}
 
 ## Filter Rows Using `WHERE` with **SQLModel**
 
 Now, the same way that we add `WHERE` to a SQL statement to filter rows, we can add a `.where()` to a **SQLModel** `select()` statement to filter rows, which will filter the objects returned:
 
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 It's a very small change, but it's packed of details. Let's explore them.
 
@@ -537,49 +435,7 @@ Now that we know how `.where()` works, let's finish the code.
 
 It's actually the same as in previous chapters for selecting data:
 
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 We take that statement, that now includes a `WHERE`, and we `exec()` it to get the results.
 
@@ -628,49 +484,7 @@ But we can use other standard Python comparisons. ✨
 
 We could get the rows where a column is **not** equal to a value using `!=`:
 
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 That would output:
 
@@ -683,49 +497,7 @@ secret_name='Tommy Sharp' age=48 id=3 name='Rusty-Man'
 
 Let's update the function `create_heroes()` and add some more rows to make the next comparison examples clearer:
 
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 Now that we have several heroes with different ages, it's gonna be more obvious what the next comparisons do.
 
@@ -733,49 +505,7 @@ Now that we have several heroes with different ages, it's gonna be more obvious
 
 Now let's use `>` to get the rows where a column is **more than** a value:
 
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 That would output:
 
@@ -795,49 +525,7 @@ Notice that it didn't select `Black Lion`, because the age is not *strictly* gre
 
 Let's do that again, but with `>=` to get the rows where a column is **more than or equal** to a value:
 
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 Because we are using `>=`, the age `35` will be included in the output:
 
@@ -858,49 +546,7 @@ This time we got `Black Lion` too because although the age is not *strictly* gre
 
 Similarly, we can use `<` to get the rows where a column is **less than** a value:
 
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 And we get the younger one with an age in the database:
 
@@ -918,49 +564,7 @@ We could imagine that **Spider-Boy** is even **younger**. But because we don't k
 
 Finally, we can use `<=` to get the rows where a column is **less than or equal** to a value:
 
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 And we get the younger ones, `35` and below:
 
@@ -985,49 +589,7 @@ We can use the same standard Python comparison operators like `<`, `<=`, `>`, `>
 
 Because `.where()` returns the same special select object back, we can add more `.where()` calls to it:
 
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 This will select the rows `WHERE` the `age` is **greater than or equal** to `35`, `AND` also the `age` is **less than** `40`.
 
@@ -1068,49 +630,7 @@ age=36 id=6 name='Dr. Weird' secret_name='Steve Weird'
 
 As an alternative to using multiple `.where()` we can also pass several expressions to a single `.where()`:
 
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 This is the same as the above, and will result in the same output with the two heroes:
 
@@ -1127,93 +647,13 @@ But we can also combine expressions using `OR`. Which means that **any** (but no
 
 To do it, you can import `or_`:
 
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 And then pass both expressions to `or_()` and put it inside `.where()`.
 
 For example, here we select the heroes that are the youngest OR the oldest:
 
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 When we run it, this generates the output:
 
@@ -1264,91 +704,11 @@ We can tell the editor that this class attribute is actually a special **SQLMode
 
 To do that, we can import `col()` (as short for "column"):
 
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 And then put the **class attribute** inside `col()` when using it in a `.where()`:
 
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 So, now the comparison is not: