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In this tutorial, the focus is on the use of PDFs in Python. PDFs are crucial for digital media, allowing for the presentation and exchange of documents, and can contain diverse elements like links, buttons, and multimedia. Python is selected for PDF processing due to its strong libraries for text analytics, providing an advantage in extracting valuable information from PDFs, which can subsequently be utilized in machine learning or natural language processing tasks. Key Python libraries for handling PDFs include PDF Miner, a tool for extracting information, and PyPDF2, which enables various PDF manipulations.