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Python for Secret Agents - Volume II

You're reading from   Python for Secret Agents - Volume II Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785283406
Length 180 pages
Edition 2nd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Extracting PDF content


In Chapter 1, New Missions – New Tools, we installed PDF Miner 3K to parse PDF files. It's time to see how this tool works. Here's the link to the documentation for this package: http://www.unixuser.org/~euske/python/pdfminer/index.html. This link is not obvious from the PyPI page, or from the BitBucket site that contains the software. An agent who scans the docs/index.html will see this reference.

In order to see how we use this package, visit http://www.unixuser.org/~euske/python/pdfminer/programming.html. This has an important diagram that shows how the various classes interact to represent the complex internal details of a PDF document. For some helpful insight, visit http://denis.papathanasiou.org/2010/08/04/extracting-text-images-from-pdf-files/.

A PDF document is a sequence of physical pages. Each page has boxes of text (in addition to images and line graphics). Each textbox contains lines of text and each line contains the individual characters. Each of these...

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