How to Extract Multi-Part Zip Files in Python

Learn how to extract `multi-part zip files` using Python with an easy-to-follow method that eliminates the need for external software.
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How to Extract Multi-Part Zip Files in Python: A Step-by-Step Guide

Understanding Multi-Part Zip Files

Multi-part zipping is a method used to split large files into smaller, more manageable pieces. This is especially useful for transferring large files over the network or when storage constraints exist. Each part usually has the same prefix and a numerical sequence. For example:

Attempting to extract these parts individually with zipfile, patoolib, or pyunpack often leads to errors, because these methods expect a single complete ZIP file. Let's move on to how you can concatenate these files and extract the combined content.

Steps to Extract Multi-Part Zip Files with Python

Here's a structured approach to achieving the desired outcome using Python:

Step 1: Import Necessary Libraries

To start, you'll need to import the required modules:

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Step 2: Define the Prefix for Your Zip Files

Next, set up a string variable for the prefix of your zip files:

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Make sure to adjust this according to the naming of your zip files.

Step 3: Gather All Parts

Using the glob module, you'll want to gather all parts of the zip file:

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This will create a list of all files that have the specified prefix.

Step 4: Concatenate the Parts into One ZIP File

Now, you can concatenate the individual parts into a single ZIP file. This is how you can do it:

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Step 5: Extract the Contents of the Combined ZIP File

Finally, use the zipfile module to extract the contents of the newly created ZIP file. Here’s how you can do that:

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Conclusion

By following the steps outlined above, you can effectively extract multi-part zip files using Python without the need for external tools like 7-Zip. This method is not only straightforward, but it also keeps your process tidy and self-contained.

Now you have a working solution that enables you to manage multi-part ZIP files seamlessly in your Python projects. Happy coding!