Book Image

Python for Secret Agents - Volume II - Second Edition

By : Steven F. Lott, Steven F. Lott
Book Image

Python for Secret Agents - Volume II - Second Edition

By: Steven F. Lott, Steven F. Lott

Overview of this book

Python is easy to learn and extensible programming language that allows any manner of secret agent to work with a variety of data. Agents from beginners to seasoned veterans will benefit from Python's simplicity and sophistication. The standard library provides numerous packages that move beyond simple beginner missions. The Python ecosystem of related packages and libraries supports deep information processing. This book will guide you through the process of upgrading your Python-based toolset for intelligence gathering, analysis, and communication. You'll explore the ways Python is used to analyze web logs to discover the trails of activities that can be found in web and database servers. We'll also look at how we can use Python to discover details of the social network by looking at the data available from social networking websites. Finally, you'll see how to extract history from PDF files, which opens up new sources of data, and you’ll learn about the ways you can gather data using an Arduino-based sensor device.
Table of Contents (12 chapters)
Python for Secret Agents Volume II
About the Author
About the Reviewer


We saw how we can tease meaningful information out of a PDF document. We assembled a core set of tools to extract outlines from documents, summarize the pages of a document, and pull the text from each page. We also discussed how we can analyze a table or other complex layout to reassemble meaningful information from that complex layout.

We used a very clever Python design pattern called wrap-sort-unwrap to decorate text blocks with coordinate information, and then sort it into the useful top-to-bottom and left-to-right positions. Once we had the text properly organized, we could unwrap the meaningful data and produce useful output.

We also discussed two other important Python design patterns: the context manager and the filter. We used object-oriented design techniques to create a hierarchy of context managers that simplify our scripts to extract data from files. The filter concept has three separate implementations: as a generator expression, as a generator function, and using the...