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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
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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

User input

Allowing user input enhances the dynamic nature of a program. It is a good practice to query the user for file paths or values rather than explicitly writing this information into the code file. Therefore, if the user wants to use the same program on a separate file, they can simply provide a different path, rather than editing the source code. In most programs, users supply input and output locations or identify which optional features or modules should be used at runtime.

User input can be supplied when the program is first called or during runtime as an argument. For most projects, it is recommended to use command-line arguments because asking the user for input during runtime halts the program execution while waiting for the input.

Using the raw input method and the...

You have been reading a chapter from
Learning Python for Forensics - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781789341690
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