Book Image

Learning Python for Forensics

By : Chapin Bryce
Book Image

Learning Python for Forensics

By: Chapin Bryce

Overview of this book

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer. Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.
Table of Contents (24 chapters)
Learning Python for Forensics
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Appendix C. Troubleshooting Exceptions

At some point in your development career—probably by the time you write your first script—you will have encountered a Python error and received a "Traceback" message. The Traceback provides the context of the error and pinpoints the line that caused the issue. The issue itself is an exception and a message of the error (even if it isn't very descriptive or helpful).

Python has a number of built-in exceptions whose purpose is to help the developer in diagnosing errors in their code. This section contains faulty exception-producing code and solutions. The idea is to learn what not to do from bad examples. This is not, however, an exhaustive listing as some less common, module-specific, and user-created exceptions are not covered. A full listing of built-in exceptions can be found at https://docs.python.org/2/library/exceptions.html.

Many Python scripters, developers, and hobbyists have shared their solutions for troubleshooting on a variety of websites and forums, such as https://www.stackoverflow.com. We invite you to search for clever solutions to problems you may face in your own code. Good search results are usually found by searches containing the word Python, the exception class name and a segment of the exception message. More likely than not someone has experienced, solved, and posted their thoughts on the error you are faced with. Additionally, members of the Python community likely post a contact link, email, or repository issues page allowing you to view prior questions and solutions.