added example of using pandas.series (#30534)

guide/english/data-science-tools/pandas/index.md

@@ -29,6 +29,24 @@ A data frame consists of a number of rows and columns. Each column represents a
 ## Series
 Series is the basic data-type in pandas. A Series is very similar to an array (NumPy array) (in fact it is built on top of the NumPy array object). A Series can have axis labels, as it can be indexed by a label with no number indexing for the location of data. It can hold any valid Python Object like List, Dictionary, etc.
 
+```python
+pd.Series([1,2,3])
+```
+output:
+```output
+0    1
+1    2
+2    3
+dtype: int64
+```
+```python
+np.array([1,2,3])
+```
+output:
+```output
+array([1, 2, 3])
+```
+
 ## Loading Data from a CSV File
 A `.csv` file is a *comma separated value* file. A very common way to store data. To load such data into a pandas data frame use the `read_csv` method:
 ```python