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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
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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 FREE CHAPTER 2. Python Fundamentals 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

Additional challenges

This script introduced GUIs and some of the methods available to us via the TkInter module for converting timestamps. This script can be extended in many ways. We recommend the following challenges for those wishing to gain a better understanding of GUI development in Python.

As mentioned in this chapter, we only specify the conversion of three formats that're commonly seen in forensics and use several different methods to provide conversion. Try to add support for the FAT directory timestamp entry into the script, providing conversion into and from the raw format. This script is designed such that adding additional formatters is as simple as defining raw and formatted handlers, adding the labels to our output frame, and appending the method name to convert().

In addition, consider replacing the output labels with entry fields so the user can copy and...

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