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Python Digital Forensics Cookbook

You're reading from  Python Digital Forensics Cookbook

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Chapin Bryce Chapin Bryce
Profile icon Chapin Bryce
Preston Miller Preston Miller
Profile icon Preston Miller
View More author details

Table of Contents (11) Chapters

Preface 1. Essential Scripting and File Information Recipes 2. Creating Artifact Report Recipes 3. A Deep Dive into Mobile Forensic Recipes 4. Extracting Embedded Metadata Recipes 5. Networking and Indicators of Compromise Recipes 6. Reading Emails and Taking Names Recipes 7. Log-Based Artifact Recipes 8. Working with Forensic Evidence Container Recipes 9. Exploring Windows Forensic Artifacts Recipes - Part I 10. Exploring Windows Forensic Artifacts Recipes - Part II

Working with CSVs

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

Everyone has reviewed data in a CSV spreadsheet at some point. They are pervasive and a common output format for most applications. Writing CSVs with Python is one of the easiest methods to create a report of processed data. In this recipe, we will demonstrate how you can use the csv and unicodecsv libraries to create quick reports with Python.

Getting started

Part of this recipe uses the unicodecsv module. This module replaces the built-in Python 2 csv module and adds Unicode support. Python 3's csv module does not have this limitation and can be used without the support of any additional library. All other libraries used in this...

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