diff --git a/contrib/pandas/excel_with_pandas.md b/contrib/pandas/excel_with_pandas.md
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--- a/contrib/pandas/excel_with_pandas.md
+++ b/contrib/pandas/excel_with_pandas.md
@@ -1 +1,51 @@
+# Pandas DataFrame
+
+The Pandas DataFrame is a two-dimensional, size-mutable, and possibly heterogeneous tabular data format with labelled axes. A data frame is a two-dimensional data structure in which the data can be organised in rows and columns. Pandas DataFrames are comprised of three main components: data, rows, and columns.
+
+In the real world, Pandas DataFrames are formed by importing datasets from existing storage, which can be a Excel file, a SQL database or CSV file. Pandas DataFrames may be constructed from lists, dictionaries, or lists of dictionaries, etc.
+
+
+### Installation of libraries
+
+`pip install pandas
+ pip install xlrd`
+
+
+Example for reading data from an Excel File:
+
+```python
+import pandas as pd
+
+l = pd.read_excel('example.xlsx')
+d = pd.DataFrame(l)
+print(d)
+```
+Output:
+'''python
+    Name  Age
+0   John   12
+'''
+
+- **Note:** The above program can also be used for loading/retrieving the data.
+
+
+Example for Inserting Data into Excel File:
+
+```python
+import pandas as pd
+
+l = pd.read_excel('file_name.xlsx')
+d = {'Name': ['Bob', 'John'], 'Age': [12, 28]}
+d = pd.DataFrame(d)
+L = pd.concat([l, d], ignore_index = True)
+L.to_excel('file_name.xlsx', index = False)
+print(L)
+```
+
+Output:
+'''python
+    Name  Age
+0   Bob   12
+1   John  28
+'''