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  • Book Overview & Buying Learning Python for Forensics
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Learning Python for Forensics

Learning Python for Forensics

By : Preston Miller, Chapin Bryce
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Learning Python for Forensics

Learning Python for Forensics

5 (4)
By: Preston Miller, Chapin Bryce

Overview of this book

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer. Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.
Table of Contents (18 chapters)
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15
B. Python Technical Details
17
Index

Using SQLite3

SQLite3 is the latest version of SQLite and is one of the most common databases found in application development. This database, unlike others, is stored as a single file and does not require a server instance to be running or installed. For this reason, it is widely used due to its portability and is found in many applications for mobile devices, desktop applications, and web services. It uses a slightly modified SQL syntax, but is one of the simpler versions. Naturally, there are some limitations to this lightweight database. These limitations include a restriction to one writer to the database at a time, 140 terabytes of storage, and it is not client-server based. Because our application will not execute multiple write statements simultaneously, uses less than 140 terabytes of storage, and does not require a client-server setup for distribution, we will be using SQLite.

Using the Structured Query Language

Before developing our code, let's take a look at basic SQL statements...

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