How to Get an Excel File from S3 Bucket and Upload It Back Without Using Pandas in Python

A step-by-step guide on how to download an Excel file from an S3 bucket and upload it back without using Pandas in Python. Learn to use Boto3 effectively!
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How to Get an Excel File from S3 Bucket and Upload It Back Without Using Pandas in Python

Accessing files stored in Amazon S3 is a common task for developers, especially when dealing with .xlsx formats. In this guide, we will explore how to download an Excel file from an S3 bucket and then upload it back to the bucket without utilizing the Pandas library or converting it to a DataFrame. We will utilize the boto3 library for this purpose.

The Problem

You might be facing the following situation:

You have an Excel file stored in an Amazon S3 bucket.

You need to retrieve this file, potentially modify it, and then upload it back to a different location in the same S3 bucket.

All of this must be done without relying on the Pandas library.

Attempting to read the file improperly can lead to errors, such as a UnicodeDecodeError when trying to decode the contents. The goal is to handle the file smoothly using boto3.

Solution Steps

Let's break down the solution into simple and clear steps.

Step 1: Set Up the Environment

Ensure you have the following in your Python environment:

boto3: This is the Amazon SDK for Python that allows you to interact with AWS services.

io: A Python library to create in-memory files.

You can install boto3 using pip if you haven't done so yet:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Create the Python Script

Here’s a streamlined Python code snippet that retrieves the Excel file and uploads it back to S3 without needing Pandas.

[[See Video to Reveal this Text or Code Snippet]]

Important Notes

Getting the Object Correctly:

No Explicit Encoding Required:

When dealing with binary files like Excel, there's no need to decode them. This also helps to prevent errors related to character encoding.

Uploading the File:

Summary

In summary, retrieving and uploading an Excel file from and to an S3 bucket can be accomplished efficiently using boto3, without any need for Pandas. By following the simple steps outlined above, you can handle files smoothly:

Use boto3 to interact with S3.

Read files in binary mode to avoid encoding issues.

Write back to S3 with the appropriate key structure.

With these guidelines, you should now be able to confidently work with Excel files in your S3 buckets using Python. Happy coding!