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What are the differences between Python 2.x and 3.x?
The Unicode support in Python 3.x has been improved. The other changes are to do with the print and exec functions, which have been adjusted to be more readable and coherent. -
What is the main programming paradigm used by Python developers?
Object-oriented programming.
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What data structure in Python allows us to associate values with keys?
The Python dictionary data structure provides a hash table that can store any number of Python objects. The dictionary consists of pairs of items containing a key and a value.
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What are the main development environments for Python scripting?
PyCharm, Wing IDE, and Python IDLE.
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What is the methodology we can follow as a set of best practices in Python for the development of security tools?
Open Methodology for Security Tool Developers (OMSTD) ...
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Book Overview & Buying
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Table Of Contents
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Feedback & Rating
Mastering Python for Networking and Security
By :
Mastering Python for Networking and Security
By:
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)
Preface
Free Chapter
Working with Python Scripting
System Programming Packages
Socket Programming
HTTP Programming
Analyzing Network Traffic
Gathering Information from Servers
Interacting with FTP, SSH, and SNMP Servers
Working with Nmap Scanners
Connecting with the Metasploit Framework
Interacting with the Vulnerabilities Scanner
Identifying Server Vulnerabilities in Web Applications
Extracting Geolocation and Metadata from Documents, Images, and Browsers
Cryptography and Steganography
Assessments
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