Use Wireshark 2 to overcome real-world network problems Key Features Delve into the core functionalities of the latest version of Wireshark Master network security skills with Wireshark 2 Efficiently find the root cause of network-related issues Book Description Wireshark, a combination of a Linux distro (Kali) and an open source security framework (Metasploit), is a popular and powerful tool. Wireshark is mainly used to analyze the bits and bytes that flow through a network. It efficiently deals with the second to the seventh layer of network protocols, and the analysis made is presented in a form that can be easily read by people. Mastering Wireshark 2 helps you gain expertise in securing your network. We start with installing and setting up Wireshark2.0, and then explore its interface in order to understand all of its functionalities. As you progress through the chapters, you will discover different ways to create, use, capture, and display filters. By halfway through the book, you will have mastered Wireshark features, analyzed different layers of the network protocol, and searched for anomalies. You’ll learn about plugins and APIs in depth. Finally, the book focuses on pocket analysis for security tasks, command-line utilities, and tools that manage trace files. By the end of the book, you'll have learned how to use Wireshark for network security analysis and configured it for troubleshooting purposes. What you will learn Understand what network and protocol analysis is and how it can help you Use Wireshark to capture packets in your network Filter captured traffic to only show what you need Explore useful statistic displays to make it easier to diagnose issues Customize Wireshark to your own specifications Analyze common network and network application protocols Who this book is for If you are a security professional or a network enthusiast and are interested in understanding the internal working of networks, and if you have some prior knowledge of usi

这本书是精通CSS的第三版，跟第二版相比，作者添加了最新的CSS3特性，同时也去除了很多过时的内容。前端必备！

Mastering Python Networking English | 2017 | ISBN-10: 1784397008 | 446 pages | PDF + EPUB + MOBI (conv) | 9.76 Mb Key Features Build the skills to perform all networking tasks using Python with ease Use Python for Network Device Automation, DevOps, and Software Defined Networking Practical guide to networking with Python Book Description You will begin with a review of the TCP/IP Protocol Suite and to refresh the core elements of the Python language. Next you will start using Python to automate network devices and achieve all that you want from your network. You will then move to using Python for DevOps where you will be securing networks, monitoring networks, and building network services. In the last module, you will use Python for SDN, where you will use Python with OpenFlow, OpenStack , OpenDayLight, and NFV. Finally you will use everything you have learned so far in this book to construct a Python-based migration plan to go from legacy to a scalable SDN-based network. By the end of the book you will have all the skills required to perform complex network-related tasks with Python What you will learn Review of all the fundamentals of Python and TCP/IP suite Use Python to execute commands when the device does not support the API or programmatic interaction with the device Implement automation techniques by integrating Python with Cisco, Juniper, and and Arista EAPI Integrate Ansible using Python to control Cisco, Juniper, and Arista networks Achieve Network security with Python Build high-performing web services with Python Construct a Python-based migration plan from legacy to a scalable SDN-based network. Download from icerbox.com

虚幻4C++学习入门书籍This book is an in-depth guide through the process of creating a high quality game from scratch, starting from importing and implementing assets and ending up with packaging the game for release and making patches, with all the steps in-between. The main aim of this book is to make a game that looks awesome, and cover advanced stuff using C++ extensively to build the logic for the game.

Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more efficiently using Cassandra's features with the help of examples Configure Cassandra and fine-tune its parameters depending on your needs Integrate Cassandra database with Apache Spark and build strong data analytics pipeline

Title: Mastering Apache Cassandra, 2nd Edition Author: Nishant Neeraj Length: 322 pages Edition: 2 Language: English Publisher: Packt Publishing Publication Date: 2015-02-27 ISBN-10: 1784392618 ISBN-13: 9781784392611 The book is aimed at intermediate developers with an understanding of core database concepts and want to become a master implementing Cassandra for their application. Table of Contents Chapter 1. Quick Start Chapter 2. Cassandra Architecture Chapter 3. Effective CQL Chapter 4. Deploying a Cluster Chapter 5. Performance Tuning Chapter 6. Managing a Cluster – Scaling, Node Repair, and Backup Chapter 7. Monitoring Chapter 8. Integration with Hadoop

you must read it before starting your PhD study.

It is not so often in life that you get a second chance. I remember that only days after we stopped editing the first edition, I kept asking myself, "Why didn't I...?", or "What the heck was I thinking saying it like that?", and on and on. In fact, the first project I started working on after it was published had nothing to do with any of the methods in the first edition. I made a mental note that if given the chance, it would go into a second edition. When I started with the first edition, my goal was to create something different, maybe even create a work that was a pleasure to read, given the constraints of the topic. After all the feedback I received, I think I hit the mark. However, there is always room for improvement, and if you try and be everything to all people, you become nothing to everybody. I'm reminded of one of my favorite Frederick the great quotes, "He who defends everything, defends nothing". So, I've tried to provide enough of the skills and tools, but not all of them, to get a reader up and running with R and machine learning as quickly and painlessly as possible. I think I've added some interesting new techniques that build on what was in the first edition. There will probably always be the detractors who complain it does not offer enough math or does not do this, that, or the other thing, but my answer to that is they already exist! Why duplicate what was already done, and very well, for that matter? Again, I have sought to provide something different, something that would keep the reader's attention and allow them to succeed in this competitive field. Before I provide a list of the changes/improvements incorporated into the second edition, chapter by chapter, let me explain some universal changes. First of all, I have surrendered in my effort to fight the usage of the assignment operator <- versus just using =. As I shared more and more code with others, I realized I was out on my own using = and not <-. The first thing I did when under con

Mastering Vim will introduce you to the wonderful world of Vim through examples of working with Python code and tools in a project-based fashion. This book will prompt you to make Vim your primary IDE, since you will learn to use it for any programming language

Mastering-Natural-Language-Processing-with-Python.pdf