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How to download a xls into a Python object via FTP with Python ftplib

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Title: Downloading a .xls File into a Python Object via FTP with Python ftplib
Introduction:
In this tutorial, we will explore how to download a .xls (Excel) file from an FTP server and store its contents into a Python object. We'll be using the ftplib module, which is part of the Python Standard Library, to establish an FTP connection and retrieve the file. Additionally, we'll leverage the xlrd library to read the Excel file's contents.
Prerequisites:
Step 1: Import necessary libraries
Step 2: Set up FTP connection
Replace the placeholders with your FTP server details.
Step 3: Specify the file to download
Step 4: Download the file
Step 5: Access Excel data
Now, you can access the data in the Excel file using the workbook object. For example, to print the content of the first sheet:
Step 6: Cleanup
Close the workbook to release resources.
Conclusion:
You've successfully downloaded a .xls file from an FTP server and loaded its contents into a Python object using ftplib and xlrd. You can now manipulate the data as needed for your specific use case.
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Introduction:
In this tutorial, we will explore how to download a .xls (Excel) file from an FTP server and store its contents into a Python object. We'll be using the ftplib module, which is part of the Python Standard Library, to establish an FTP connection and retrieve the file. Additionally, we'll leverage the xlrd library to read the Excel file's contents.
Prerequisites:
Step 1: Import necessary libraries
Step 2: Set up FTP connection
Replace the placeholders with your FTP server details.
Step 3: Specify the file to download
Step 4: Download the file
Step 5: Access Excel data
Now, you can access the data in the Excel file using the workbook object. For example, to print the content of the first sheet:
Step 6: Cleanup
Close the workbook to release resources.
Conclusion:
You've successfully downloaded a .xls file from an FTP server and loaded its contents into a Python object using ftplib and xlrd. You can now manipulate the data as needed for your specific use case.
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