Select Data
<pre>
DataFrame students
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| student_id  | int    |
| name        | object |
| age         | int    |
+-------------+--------+

</pre>

<p>Write a solution to select the name and age of the student with <code>student_id = 101</code>.</p>

<p>The result format is in the following example.</p>

<p>&nbsp;</p>
<pre>
<strong>Example 1:
Input:</strong>
+------------+---------+-----+
| student_id | name    | age |
+------------+---------+-----+
| 101        | Ulysses | 13  |
| 53         | William | 10  |
| 128        | Henry   | 6   |
| 3          | Henry   | 11  |
+------------+---------+-----+
<strong>Output:</strong>
+---------+-----+
| name    | age | 
+---------+-----+
| Ulysses | 13  |
+---------+-----+
<strong>Explanation:
</strong>Student Ulysses has student_id = 101, we select the name and age.</pre>

[]
[]
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{
  "pythondata": [
    "students = pd.DataFrame([], columns=['student_id', 'name', 'age']).astype({'student_id':'Int64', 'name':'object', 'age':'Int64'})"
  ],
  "database": true,
  "name": "selectData",
  "languages": [
    "pythondata"
  ]
}
{"pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"]}
[]