图解HTTP》对互联网基盘——HTTP协议进行了全面系统的介绍。作者由HTTP协议的发展历史娓娓道来，严谨细致地剖析了HTTP协议的结构，列举诸多常见通信场景及实战案例，**后延伸到Web安全、**新技术动向等方面。《图解HTTP》的特色为在讲解的同时，辅以大量生动形象的通信图例，更好地帮助读者深刻理解HTTP通信过程中客户端与服务器之间的交互情况。读者可通过《图解HTTP》快速了解并掌握HTTP协议的基础，前端工程师分析抓包数据，后端工程师实现REST API、实现自己的HTTP服务器等过程中所需的HTTP相关知识点本书均有介绍。
《图解HTTP》适合Web开发工程师，以及对HTTP协议感兴趣的各层次读者。

Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially.
Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience.
Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics.
Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer.

From Charles M. Kozierok, the creator of the highly regarded www.pcguide.com, comes The TCP/IP Guide. This completely up-to-date, encyclopedic reference on the TCP/IP protocol suite will appeal to newcomers and the seasoned professional alike. Kozierok details the core protocols that make TCP/IP internetworks function and the most important classic TCP/IP applications, integrating IPv6 coverage throughout. Over 350 illustrations and hundreds of tables help to explain the finer points of this complex topic. The book抯 personal, user-friendly writing style lets readers of all levels understand the dozens of protocols and technologies that run the Internet, with full coverage of PPP, ARP, IP, IPv6, IP NAT, IPSec, Mobile IP, ICMP, RIP, BGP, TCP, UDP, DNS, DHCP, SNMP, FTP, SMTP, NNTP, HTTP, Telnet, and much more.
The TCP/IP Guide is a must-have addition to the libraries of internetworking students, educators, networking professionals, and those working toward certification.

本书以探索之旅的形式，从在浏览器中输入网址开始，一路追踪了到显示出网页内容为止的整个过程，以图配文，讲解了网络的全貌，并重点介绍了实际的网络设备和软件是如何工作的。目的是帮助读者理解网络的本质意义，理解实际的设备和软件，进而熟练运用网络技术。同时，专设了“网络术语其实很简单”专栏，以对话的形式介绍了一些网络术语的词源，颇为生动有趣。
本书图文并茂，通俗易懂，非常适合计算机、网络爱好者及相关从业人员阅读。

This is THE guide to UNIX network programming APIs. Whether you write Web servers, client/server applications, or any other network software, you need to understand networking APIS-especially sockets in greater detail than ever before. You need UNIX Network Programming, Volume 1, Third Edition. In this book, the Authors offer unprecedented, start-to-finish guidance on making the most of sockets, the de facto standard for UNIX network programming with APIs - as well as extensive coverage of the X/Open Transport Interface (XTI).

本书介绍了如何利用Python 3开发网络爬虫，书中首先介绍了环境配置和基础知识，然后讨论了urllib、requests、正则表达式、Beautiful Soup、XPath、pyquery、数据存储、Ajax数据爬取等内容，接着通过多个案例介绍了不同场景下如何实现数据爬取，后介绍了pyspider框架、Scrapy框架和分布式爬虫。
本书适合Python程序员阅读。