DOC: Clarify parentheses vs. brackets usage (GH#62314)

doc/source/getting_started/index.rst

@@ -520,6 +520,49 @@ Data sets often contain more than just numerical data. pandas provides a wide ra
 
 :ref:`To user guide <text>`
 
+.. raw:: html
+
+                        </span>
+                    </div>
+                </div>
+            </div>
+        </div>
+
+        <div class="card tutorial-card">
+            <div class="card-header collapsed card-link" data-bs-toggle="collapse" data-bs-target="#collapseEleven">
+                <div class="d-flex flex-row tutorial-card-header-1">
+                    <div class="d-flex flex-row tutorial-card-header-2">
+                        <button class="btn btn-dark btn-sm"></button>
+                        How to use parentheses vs square brackets?
+                    </div>
+                    <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_11_brackets_vs_parenthesis>`
+
+.. raw:: html
+
+                    </span>
+                </div>
+            </div>
+            <div id="collapseEleven" class="collapse" data-parent="#accordion">
+                <div class="card-body">
+
+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
+
+                    <div class="d-flex flex-row">
+                        <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_11_brackets_vs_parenthesis>`
+
+.. raw:: html
+
+                        </span>
+                        <span class="badge gs-badge-link">
+
+:ref:`To user guide <indexing>`
+
 .. raw:: html
 
                         </span>

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 <https://python-public-policy.afeld.me/en/columbia/brackets.html>`__.

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