Email Automation

The Python script automates the process of sending Outlook emails based on specific flagged criteria from an input Excel file. It uses the pandas library for handling Excel data, the openpyxl library for reading Excel files, and the pywin32 library for interacting with Outlook.

• Import the required libraries: pandas, openpyxl, and win32com.client.
• Read the input Excel file using pandas.read_excel(), specifying the openpyxl engine to handle the file. This will load the Excel data into a pandas DataFrame.
• Filter the DataFrame to extract rows that meet the flagged criteria. This can be done using boolean indexing or the query() method available in pandas.
• For each row that meets the criteria, extract the necessary information, such as the recipient's email address, subject, and email body content.
• Establish a connection to Outlook by creating an instance of the win32com.client.Dispatch("Outlook.Application") object.
• For each recipient, create a new mail item using the CreateItem() method of the Outlook application object, and populate the email fields (such as To, Subject, and Body) with the extracted information.
• Send the email using the Send() method of the mail item.
• Close the Outlook connection and provide a summary of the emails sent, if needed.

This Python script streamlines the process of sending personalized emails based on specific criteria from an input Excel file, making it an efficient solution for automated email notifications.