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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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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 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

Summary

This chapter continued from where we left off in previous chapter, and helped us build a solid Python foundation for later chapters. We covered advanced data types and object-oriented programming, developed our first scripts, and dived into traceback messages. At this point, you should start to become comfortable with Python, though repeat these two chapters and manually type out the code to help strengthen your comfort level as needed. We highly recommend to practice and experiment by either testing out ideas in the interactive prompt or modifying the scripts we developed. The code for this project can be downloaded from GitHub or Packt, as described in the Preface.

As we move away from theory and look into the core part of this book, we will start with simple scripts and work toward increasingly more complicated programs. This should allow a natural development of understanding...

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