Skip to content
master
Switch branches/tags
Code
This branch is 3 commits ahead, 2 commits behind PacktPublishing:master.
Contribute

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Learning Python for Forensics - Second Edition

Learning Python for Forensics - Second Edition

This is the code repository for Learning Python for Forensics - Second Edition, published by Packt.

Leverage the power of Python in forensic investigations

What is this book about?

Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data.

This book covers the following exciting features:

  • Learn how to develop Python scripts to solve complex forensic problems
  • Build scripts using an iterative design
  • Design code to accommodate present and future hurdles
  • Leverage built-in and community-sourced libraries
  • Understand the best practices in forensic programming

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

>>> epoch_timestamp = 874281600
>>> datetime_timestamp = datetime.datetime.utcfromtimestamp(epoch_timestamp)

Following is what you need for this book: If you are a forensics student, hobbyist, or professional seeking to increase your understanding in forensics through the use of a programming language, then Learning Python for Forensics is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding for examiners who wish to learn programming.

With the following software and hardware list you can run all code files present in the book.

Software and Hardware List

Chapter Software required OS required
1 - 13 Python 2.7 or 3.7, IDE for Python, Windows, Linux
and SQLite

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Related products

Get to Know the Author(s)

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

Chapin Bryce is a consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (Forensic 4:Cast Digital Forensics Book of the Year, 2018), Learning Python for Forensics, First Edition, and Digital Forensic Magazine.

Other books by the authors

Suggestions and Feedback

Click here if you have any feedback or suggestions.

About

Learning Python for Forensics, Second Edition, Published by Packt

Resources

License

Releases

No releases published

Packages

No packages published