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Mastering Python for Networking and Security

Mastering Python for Networking and Security

By : José Manuel Ortega
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Mastering Python for Networking and Security

Mastering Python for Networking and Security

3 (2)
By: José Manuel Ortega

Overview of this book

It’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting. This book covers topics from building a network to the different procedures you need to follow to secure it. You’ll first be introduced to different packages and libraries, before moving on to different ways to build a network with the help of Python scripting. Later, you will learn how to check a network’s vulnerability using Python security scripting, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
Table of Contents (16 chapters)
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Working with Python Scripting

Throughout this chapter, we will introduce Python scripting, collections, functions, exception-handling, and object-oriented programming. We will review how to create classes, objects, and Python's particularities to initialize objects, including the use of special attributes and methods. Also it will be introduce a methodology, tools, and development environments.

The following topics will be covered in this chapter:

  • Programming and installing Python
  • Data structures and Python collections
  • Python functions and managing exceptions
  • Object-Oriented Programming in Python
  • The OMSTD methodology including how to manage modules, packages, dependencies, passing parameters, working with virtual environments, and the STB module for Python scripting
  • The main development environments for script-development in Python
  • Interacting and debugging with Python IDE
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