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Python Digital Forensics Cookbook

You're reading from   Python Digital Forensics Cookbook Effective Python recipes for digital investigations

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Length 412 pages
Edition 1st Edition
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Authors (2):
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Chapin Bryce Chapin Bryce
Author Profile Icon Chapin Bryce
Chapin Bryce
Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
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Table of Contents (11) Chapters Close

Preface 1. Essential Scripting and File Information Recipes FREE CHAPTER 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

Visualizing events with Excel

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

Let's take it one step further from the previous recipe with Excel. Excel is a very robust spreadsheet application and we can do a lot with it. We will use Excel to create a table and plot graphs of the data.

Getting started

There are a number of different Python libraries with varying support for Excel and its many features. In this recipe, we use the xlsxwriter module to create a table and graph of the data. This module can be used for much more than that. This module can be installed by pip using the following command:

pip install xlsxwriter==0.9.9
To learn more about the xlsxwriter library, visit https://xlsxwriter...
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