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


In this chapter, we looked at data collection at the gadget level. We used an Arduino board to build a data collection gadget. We looked at how we can build a simple display using LEDs. We also discussed providing simple input by debouncing a push button. We used Python programs to help us design some of these circuits.

We also used the analog input pins to gather data from an infrared distance sensor. To be sure that we've got reliable, usable data, we wrote a calibration process. We collected that raw data and analyzed it in Python. Because of the sophisticated statistics module, we were able to evaluate the quality of the results.

We used Python to build a linear model that maps the raw measurements to accurate distance measurements. We can use these Python analytical modules for ongoing calibration and fine-tuning the way this device works.

We also used Python to examine the parameters for an EWMA algorithm. We can use Python to explore the weighting factor. It's very easy to process...