The try and except syntax is used to catch and safely handle errors that are encountered during runtime. As a new developer, you'll eventually become accustomed to having people telling you that your scripts don't work. In Python, we use the try and except blocks to stop preventable errors from crashing our code. Please use the try and except blocks in moderation. Don't use them as if they were band-aids to plug up holes in a sinking ship—instead, reconsider your original design and contemplate modifying the logic to better prevent errors. One great way to help with this is to provide instructions for use through command-line arguments, documentation, or otherwise. Using these correctly will enhance the stability of your program. However, improper usage will not add any stability and can mask underlying issues in your code. A good practice...
Learning Python for Forensics - Second Edition
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Learning Python for Forensics - Second Edition
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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.
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Current Title:
Learning Python for Forensics - Second Edition
Table of Contents (15 chapters)
Preface
Free Chapter
Now for Something Completely Different
Python Fundamentals
Parsing Text Files
Working with Serialized Data Structures
Databases in Python
Extracting Artifacts from Binary Files
Fuzzy Hashing
The Media Age
Uncovering Time
Rapidly Triaging Systems
Parsing Outlook PST Containers
Recovering Transient Database Records
Coming Full Circle
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