DOC: Add Google Colab data loading guide

Adds comprehensive guide for loading data in Google Colab environment.
Covers Google Drive, local uploads, URLs, and Google Sheets with
working code examples for each method.

Closes #62708

Author: Nayil97

doc/source/user_guide/io.rst

@@ -6316,6 +6316,91 @@ More information about the SAV and ZSAV file formats is available here_.
 
 .. _here: https://www.ibm.com/docs/en/spss-statistics/22.0.0
 
+
+.. _io.colab:
+
+Loading Data in Google Colab
+-----------------------------
+
+Google Colab is a popular cloud-based Jupyter notebook environment. pandas works seamlessly in Colab, and there are several ways to load data:
+
+From Google Drive
+~~~~~~~~~~~~~~~~~
+
+To access files stored in your Google Drive:
+
+.. code-block:: python
+
+    from google.colab import drive
+    import pandas as pd
+    
+    # Mount your Google Drive
+    drive.mount('/content/drive')
+    
+    # Read file from Drive
+    df = pd.read_csv('/content/drive/MyDrive/your_file.csv')
+
+From Local Computer
+~~~~~~~~~~~~~~~~~~~
+
+To upload files from your local machine:
+
+.. code-block:: python
+
+    from google.colab import files
+    import pandas as pd
+    import io
+    
+    # Upload file (opens file picker dialog)
+    uploaded = files.upload()
+    
+    # Read the uploaded file
+    for filename in uploaded.keys():
+        df = pd.read_csv(io.BytesIO(uploaded[filename]))
+
+From URL
+~~~~~~~~
+
+Direct URL loading works the same as in standard pandas:
+
+.. code-block:: python
+
+    import pandas as pd
+    
+    # Read from any public URL
+    url = 'https://raw.githubusercontent.com/example/repo/main/data.csv'
+    df = pd.read_csv(url)
+
+From Google Sheets
+~~~~~~~~~~~~~~~~~~
+
+To read data from Google Sheets:
+
+.. code-block:: python
+
+    import pandas as pd
+    
+    # Option 1: Export as CSV (sheet must be publicly accessible)
+    sheet_id = 'your-spreadsheet-id'
+    sheet_name = 'Sheet1'
+    url = f'https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}'
+    df = pd.read_csv(url)
+    
+    # Option 2: Using authentication for private sheets
+    from google.colab import auth
+    import gspread
+    from google.auth import default
+    
+    auth.authenticate_user()
+    creds, _ = default()
+    gc = gspread.authorize(creds)
+    
+    worksheet = gc.open('Your Spreadsheet Name').sheet1
+    data = worksheet.get_all_values()
+    df = pd.DataFrame(data[1:], columns=data[0])
+
+For more details on Colab-specific I/O operations, see the `official Google Colab I/O guide <https://colab.research.google.com/notebooks/io.ipynb>`_.
+
 .. _io.other:
 
 Other file formats