http://www.amazon.com/Foundations-Python-Network-Programming-Brandon/dp/1430258543 这本书是2014年底出版的，基于最新的 python3.4 版本。 配书源码链接 https://github.com/brandon-rhodes/fopnp 目录 Chapter 1: Introduction to Client-Server Networking Chapter 2: UDP Chapter 3: TCP Chapter 4: Socket Names and DNS Chapter 5: Network Data and Network Errors Chapter 6: TLS/SSL Chapter 7: Server Architecture Chapter 8: Caches and Message Queues Chapter 9: HTTP Clients Chapter 10: HTTP Servers Chapter 11: The World Wide Web Chapter 12: Building and Parsing E-Mail Chapter 13: SMTP Chapter 14: POP Chapter 15: IMAP Chapter 16: Telnet and SSH Chapter 17: FTP Chapter 18: RPC Instead, this book focuses on network programming, using Python 3 for every example script and snippet of code at the Python prompt. These examples are intended to build a comprehensive picture of how network clients, network servers, and network tools can best be constructed from the tools provided by the language. Readers can study the transition from Python 2 to Python 3 by comparing the scripts used in each chapter of the second edition of this book with the listings here in the third edition—both of which are available at https://github.com/brandon-rhodes/fopnp/tree/m/ thanks to the excellent Apress policy of making source code available online. The goal in each of the following chapters is simply to show you how Python 3 can best be used to solve modern network programming problems.

Boost.Asio C++ Network Programming(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.

linux网络编程经典书籍

unix网络编程-卷1（第3版），中文翻译版在有些细节上有些错误，可以对比查看

A comprehensive guide to understanding network architecture, communication protocols, and network analysis to build secure applications compatible with the latest versions of C# 8 and .NET Core 3.0

unix 网络编程 unix network programming 中文版 unix 网络编程 unix network programming 中文版

Boost.Asio C++ Network Programming Cookbook 英文原版+代码

该压缩包包含了国外最新的Java神经网络教程，里面包含PDF教程与配套代码，供大家学习使用。

unix network programming(Volume 1 • Third Edition) UNIX网络编程卷1：套接字联网API（第3版）英文版