+
+Understanding the difference between parentheses and square brackets is crucial for pandas users. Parentheses are used for function calls and grouping, while square brackets are for indexing and selection.
+
+.. raw:: html
+
+
+
+
+:ref:`To introduction tutorial <10min_tut_11_brackets_vs_parenthesis>`
+
+.. raw:: html
+
+
+
+
+:ref:`To user guide `
+
.. raw:: html
diff --git a/doc/source/getting_started/intro_tutorials/01_table_oriented.rst b/doc/source/getting_started/intro_tutorials/01_table_oriented.rst
index 7e86ad6c499d9..d4504df20948a 100644
--- a/doc/source/getting_started/intro_tutorials/01_table_oriented.rst
+++ b/doc/source/getting_started/intro_tutorials/01_table_oriented.rst
@@ -29,7 +29,7 @@ documentation.
pandas data table representation
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-.. image:: ../../_static/schemas/01_table_dataframe.svg
+.. image:: ../../_static/schemas/01_dataframe.svg
:align: center
.. raw:: html
diff --git a/doc/source/getting_started/intro_tutorials/11_brackets_vs_parenthesis.rst b/doc/source/getting_started/intro_tutorials/11_brackets_vs_parenthesis.rst
new file mode 100644
index 0000000000000..55fb909e647f0
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/11_brackets_vs_parenthesis.rst
@@ -0,0 +1,13 @@
+.. _10min_tut_11_brackets_vs_parenthesis:
+
+Parentheses vs. Square Brackets in Python and pandas
+====================================================
+
+In both Python and pandas, it is important to understand the difference between parentheses ``()`` and square brackets ``[]``:
+
+- **Parentheses** are used to call functions and methods. For example, ``df.mean()`` calculates the mean of a DataFrame. Parentheses are also used to group expressions, such as ``(a + b) * c``, or to create tuples: ``(1, 2, 3)``.
+- **Square brackets** are used for indexing, selecting data, and defining lists. In pandas, you use square brackets to select columns or filter data—for instance, ``df['A']`` selects column ``A``, while ``df[0:3]`` selects rows by position. In standard Python, square brackets are also used to define a list, as in ``my_list = [1, 2, 3]``.
+
+Remember: Use ``[]`` for selection or indexing, and ``()`` for calling functions or grouping expressions.
+
+For more explanation, see `Brackets in Python and pandas `__.
diff --git a/doc/source/getting_started/intro_tutorials/index.rst b/doc/source/getting_started/intro_tutorials/index.rst
index c67e18043c175..4968908366359 100644
--- a/doc/source/getting_started/intro_tutorials/index.rst
+++ b/doc/source/getting_started/intro_tutorials/index.rst
@@ -19,3 +19,4 @@ Getting started tutorials
08_combine_dataframes
09_timeseries
10_text_data
+ 11_brackets_vs_parenthesis
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000000000..bb3c8e31ba2f5
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,6 @@
+{
+ "name": "pandas",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {}
+}