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  • Book Overview & Buying Learning Python for Forensics
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Learning Python for Forensics

Learning Python for Forensics - Second Edition

By : Preston Miller, Chapin Bryce
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Learning Python for Forensics

Learning Python for Forensics

By: Preston Miller, Chapin Bryce

Overview of this book

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. The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator.
Table of Contents (15 chapters)
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Python Fundamentals

We have explored the basic concepts behind Python and fundamental elements used to construct scripts. We will now build a series of scripts throughout this book using the data types and built-in functions that we have discussed in the first chapter. Before we begin developing scripts, let's walk through some additional important features of the Python language, building upon our existing knowledge.

In this chapter, we will explore more advanced features that we will utilize when building our forensic Python scripts. This includes complex data types and functions, creating our first script, handling errors, using libraries, interacting with the user, and some best practices for development. After completing this chapter, we will be ready to dive into real-world examples featuring the utility of Python in forensic casework.

This chapter will cover the following...

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Learning Python for Forensics
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