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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
Languages
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 2. Python Fundamentals FREE CHAPTER 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 has covered a wide range of introductory content that provides a foundation to be built upon throughout the duration of this book; by the end, you will become well-versed in Python development. These topics have been handpicked as the most important items to comprise a basic understanding of the language as we move forward. We have covered data types, what they are and when they are used, variable naming and the associated rules and guidelines, logic and operations to manipulate and make decisions based on values, and conditions and loops that provide a sequential organization for our scripts and form the baseline of everything we develop. The code for this project can be downloaded from GitHub or Packt, as described in the Preface.

Please consider re-reading this chapter and working through the examples multiple times to help with comprehension. Just like anything else, learning a new language requires a lot of practice.

Through these features alone, we can create basic scripts. Python is a very powerful and complex language belying its simplistic syntax. In the next chapter, we will explore more complex foundational items and continue expanding upon knowledge established in this chapter, prior to moving on to real-world examples.

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