ruby-on-rails-tutorial-bold-2.3

经典C语言书上的练习的答案，手边放一本非常方便。C语言的学习光看书没有用，必须做练习，这个答案帮助很大。(The C Answer Book. Solutions to the Exercises in The C Programming Language, Second Edition by Brian W. Kernighan and Dennis M. Ritchie)

数据结构与算法-面向对象的C++设计模式 电子书籍(Learning source code)

VC程序有很多很有用的程序在里面希望大家喜欢啊(net)

非常经典的一本讲述C标准的书.不用多说了! 相信对您大有帮助!(It s rather classical C book about its standard. It s believed to be very useful for you.)

C++入门书籍之一，使用如初学者更好地理解c++(One of the C++ introductory books, using a better understanding of c++, such as a beginner.)

me gusta la programacion al extremo

说明：  《数据结构》这门课程是信息与计算科学专业中一门重要的专业基础课程。当用计算机来解决实际问题时，就要涉及到数据的表示及数据的处理，而数据表示及数据处理正是数据结构课程的主要研究对象，通过这两方面内容的学习，为后续课程，特别是软件方面的课程打下了厚实的知识基础，同时也提供了必要的技能训练。我们主要学习的数据结构包括队列、堆、栈、链表、树和图等。通常情况下，精心选择合适的数据结构可以带来更高的存储效率，因此，数据结构课程在计算机应用专业中具有举足轻重的作用。(Data Structure is an important basic course in information and computing science. When using computers to solve practical problems, it is necessary to involve data representation and data processing, and data representation and data processing are the main research objects of data structure course. Through the study of these two aspects, it lays a solid knowledge foundation for follow-up courses, especially for software courses, at the same time. Necessary skill training is provided. The main data structures we learn include queues, heaps, stacks, linked lists, trees and graphs. Usually, choosing the right data structure carefully can bring about higher storage efficiency. Therefore, the course of data structure plays an important role in computer application specialty.)

经典的C++编程资料，有助于建立面对对象的编程习惯(Classical C++ Programming book)

说明：  经典的C++编程资料，有助于建立面对对象的编程习惯(Classical C++ Programming book)

基于网络的计算机处理技术，与集中式相对应。由于个人计算机的性能得到极大的提高及其使用的普及，使处理能力分布到网络上的所有计算机成为可能。分布式计算是和集中式计算相对立的概念，分布式计算的数据可以分布在很大区域(Network-based computer processing technology corresponds to centralized. As the performance of personal computers has been greatly improved and the popularity of their use, it is possible to distribute processing power to all computers on the network. Distributed computing is a concept opposite to centralized computing. The data of distributed computing can be distributed in a large area.)