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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

Databases in Python

In this chapter, we will leverage databases in our scripts so that we can accomplish meaningful tasks when working with large quantities of data. Using a simple example, we will demonstrate the capabilities and benefits of using a database backend in our Python scripts. We will store file metadata that has been recursively indexed from a given root directory into a database and then query it to generate reports. Although this may seem like a simple feat, the purpose of this chapter is to showcase the ways we can interact with a database in Python by creating an active file listing.

In this chapter, we will delve into the following topics:

  • The basic design and implementation of SQLite3 databases
  • Working with these databases in Python using built-in and third-party modules
  • Understanding how to recursively iterate through directories in Python
  • Understanding filesystem...
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