From 5b12393e81f6b8953e9ebd46801e6943007b7a56 Mon Sep 17 00:00:00 2001 From: =?utf8?q?Sebasti=C3=A1n=20Ram=C3=ADrez?= Date: Wed, 28 Apr 2021 20:42:12 +0200 Subject: [PATCH] =?utf8?q?=E2=9C=8F=EF=B8=8F=20Fix=20minor=20typos=20in=20?= =?utf8?q?"Selecting=20Rows=20with=20Core=20or=20ORM"=20(#6381)?= MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit --- doc/build/tutorial/data_select.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/build/tutorial/data_select.rst b/doc/build/tutorial/data_select.rst index 73261500ea..bcd533cc6f 100644 --- a/doc/build/tutorial/data_select.rst +++ b/doc/build/tutorial/data_select.rst @@ -449,7 +449,7 @@ right side of the JOIN, the left hand-side is inferred:: observe that the ON clause of the join is also inferred for us in simple foreign key cases. More on that in the next section. -We also have the option add elements to the FROM clause explicitly, if it is not +We also have the option to add elements to the FROM clause explicitly, if it is not inferred the way we want from the columns clause. We use the :meth:`_sql.Select.select_from` method to achieve this, as below where we establish ``user_table`` as the first element in the FROM @@ -602,7 +602,7 @@ of a particular SQL function, which can have any name, as well as zero or more arguments to pass to the function, which are, like in all other cases, SQL Expression constructs. For example, to render the SQL COUNT() function against the ``user_account.id`` column, -we call upon the name ``count()`` name:: +we call upon the ``count()`` name:: >>> from sqlalchemy import func >>> count_fn = func.count(user_table.c.id) -- 2.47.3