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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
Languages
Concepts
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different 2. Python Fundamentals FREE CHAPTER 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

Summary

In this chapter, we covered how to convert between machine- and human-readable timestamps and display that information in GUI. The primary goal of a forensic developer is to be capable of facilitating rapid design and deployment of tools that provide insight into investigations.

However, in this chapter, we focused a bit more on the end user by spending a little extra time on building a nice interface for the user to operate and interact with. The code for this project can be downloaded from GitHub or Packt, as described in the Preface.

In the next chapter, we'll explore triaging systems and how to collect essential live and volatile data from a system using Python.

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