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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...

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