Code Monkey home page Code Monkey logo

python-digital-forensics-cookbook's Introduction

Python Digital Forensics Cookbook

This is the code repository for Python Digital Forensics Cookbook, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

About the Book

Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets.

Instructions and Navigation

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

This is the code bundle for the book, Python Digital Forensics Cookbook, published by Packt.

All the code files are arracnged in the folder of respective chapter.

The code will look like the following:

def hello_world():
    print(“Hello World!”)
hello_world()

In order to follow along with and execute the recipes within this cookbook, use a computer with an Internet connection and the latest Python 2.7 and Python 3.5 installations. Recipes may require additional third-party libraries to be installed; instructions for doing that are provided in the recipe. For ease of development and implementation of these recipes, it is recommended that you set up and configure an Ubuntu virtual machine for development. These recipes, unless otherwise noted, were built and tested within an Ubuntu 16.04 environment with both Python 2.7 and 3.5. Several recipes will require the use of a Windows operating system, as many forensic tools operate onlyon this platform.

Related Products

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781783987467

python-digital-forensics-cookbook's People

Contributors

packt-itservice avatar prashantpackt avatar packtutkarshr avatar dominicpereira92 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.