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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 FREE CHAPTER 2. Python Fundamentals 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

Moving on to our writers

Within the writers directory, we have two scripts: csv_writer.py and kml_writer.py. Both of these writers are called depending on the types of data being processed in the metadata_parser.py framework.

Writing spreadsheets – csv_writer.py

In this chapter, we'll use csv.DictWriter instead of csv.writer, just like we did in Chapter 5, Databases in Python, and Chapter 6, Extracting Artifacts from Binary Files. As a reminder, the difference is that the DictWriter writes dictionary objects to a CSV file and the csv.writer function is more suited for writing lists.

The great thing about csv.DictWriter is that it requires an argument, fieldnames, when creating the writer object. The fieldnames...

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