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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

This chapter focused on the use of databases in script development. We explored how to use and manipulate a SQLite database in Python to store and retrieve information about file listings. We discussed when and how a database is a correct solution to store this information, as it has a fixed data structure and could be a large dataset.

In addition, we discussed multiple methods of interacting with databases, a manual process to show how databases work at a lower level, and a more Pythonic example where a third-party module handles these low-level interactions for us. We also explored a new type of report, using HTML to create a different output that can be viewed without additional software, and manipulating it to add new styles and functionality as we see fit. Overall, this section builds on the underlying goal of demonstrating different ways we can use Python and supporting...

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