Problem:

You want to automate the process of importing data from multiple Excel files into a single SQL table.

Solution:

To automate the process of importing data from multiple Excel files into a single SQL table, follow these steps:

1. Import the necessary libraries: Import the libraries required for reading Excel files and interacting with SQL databases.
2. Define a function to import data from Excel: Write a function that takes a file path as input and imports the data from the Excel file into a pandas DataFrame.
3. Define a function to create the SQL table: Write a function that takes a table name and a list of column names as input and creates the SQL table.
4. Define a function to insert data into the SQL table: Write a function that takes a table name and a pandas DataFrame as input and inserts the data from the DataFrame into the SQL table.
5. Iterate over the Excel files and import data: Iterate over the list of Excel file paths, call the function to import data from Excel for each file, and append the data to a master DataFrame.
6. Create the SQL table: Call the function to create the SQL table, providing the table name and column names as input.
7. Insert data into the SQL table: Call the function to insert data into the SQL table, providing the table name and the master DataFrame as input.

Example Usage:

1. Define the Excel file paths: Create a list of file paths for the Excel files.

2. Define the SQL table name and column names: Set a table name and a list of column names for the SQL table.

3. Call the function to import data from Excel: Iterate over the Excel file paths, call the function to import data from Excel for each file, and append the data to a master DataFrame.

4. Call the function to create the SQL table: Call the function to create the SQL table, providing the table name and column names as input.

5. Call the function to insert data into the SQL table: Call the function to insert data into the SQL table, providing the table name and the master DataFrame as input.

Note:

Ensure the necessary libraries are installed.

Libraries:

• Pandas for reading Excel files and manipulating data.
• sqlalchemy for interacting with SQL databases.