Which book I should buy

Chillbon 2002-04-30 11:00:27

我想买一本有关C++的外文书，可以介绍一二吗？

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williamcl 2002-05-01

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1.《The C++ Programming Language Special Edition》,by Bjarne Stroustrup(the creator of C++) (Hardcover).February 15, 2000.1040 pages,Addison-Wesley Pub Co.

《The C++ Programming Language(Special Edition)》,高等教育出版社,2001年8月影印版.55.00元.绝对应该买此书.

2.《Accelerated C++:Practical Programming by Example》,by Andrew Koenig , Barbara E. Moo ,Addison-Wesley, 2000 ,ISBN 0-201-70353-X.Paperback.

对于Beginning/Intermediate level,购买上面两本书及《Addison Wesley：C++ In Depth series》(http://www.awl.com/cseng/series/indepth/index.shtml)的其它的书足够了.

这些书马上就要出中文版了.
http://www.china-pub.com/member/bookpinglun/viewpinglun.asp?id=5217
http://www.china-pub.com/computers/epub/newbook/dianli.htm

更多的书请参看http://www.accu.org/ & http://www.amazon.com/.

love4cz 2002-04-30

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错了,应是C++ Primer

love4cz 2002-04-30

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Essential C++

C++ Promer

ironsmith 2002-04-30

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the c++ programming language --stroustrup

晨星 2002-04-30

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《Thinking in C++》物超所值！

初中英语同位语从句PPT课件.pptx

In this book we will create a programming language together. We'll start with 0 lines of code and end up with a fully working interpreter for the Monkey* programming language. Step by step. From tokens to output. All code shown and included. Fully tested. Buy this book to learn - How to build an interpreter for a C-like programming language from scratch - What a lexer, a parser and an Abstract Syntax Tree (AST) are and how to build your own - What closures are and how and why they work - What the Pratt parsing technique and a recursive descent parser is - What others talk about when they talk about built-in data structures - What REPL stands for and how to build one Why this book This is the book I wanted to have a year ago. This is the book I couldn't find. I wrote this book for you and me. So why should you buy it? What's different about it, compared to other interpreter or compiler literature? - Working code is the focus. Code is not just found in the appendix. Code is the main focus of this book. - It's small! It has around 200 pages of which a great deal are readable, syntax-highlighted, working code. - The code presented in the book is easy to understand, easy to extend, easy to maintain. - No 3rd party libraries! You're not left wondering: "But how does tool X do that?" We won't use a tool X. We only use the Go standard library and write everything ourselves. - Tests! The interpreter we build in the book is fully tested! Sometimes in TDD style, sometimes with the tests written after. You can easily run the tests to experiment with the interpreter and make changes. This book is for you if you... - learn by building, love to look under the hood - love programming and to program for the sake of learning and joy! - are interested in how your favorite, interpreted programming language works - never took a compiler course in college - want to get started with interpreters or compilers… - ... but don't want to work through a theory-heavy, 800 pages, 4 pounds co

Introduction This book is designed to help all programmers who have ever written their own software to better protect their software from illegal copying. It will also be useful to programmers creating freeware who wish to protect their source code. The idea to write a book like this came to me some time ago when I realized how poorly the topic is covered and how difficult it is to acquire the information necessary to adequately protect software. When I was involved with game production in the Czech and Slovak Republics, I was astonished at how simple their protection was, and that very often they had no protection at all — yet it is so easy to protect software, at least at a basic level. The problem lies in the lack of information and experience in this field. That's why I wrote this book, which will present many previously unaddressed topics concerning software protection. Protection as a Deterrent My experience tells me that there is no protection that cannot be easily removed and, as such, much of the work you will put into protecting your software is simply a deterrent, delaying the inevitable. It's only a matter of time, possibilities, and patience before a cracker cracks your software. Of course, the better your deterrent, the more time you'll have to sell your software before you find it available (or crackable) for free, online. What creators of a program or game would want to find their product, whether shareware or commercial software, pirated on the Internet the very day of the release? That would definitely result in reduced sales. Good software protection prevents the cracker from removing the protection correctly. With such protection, the program won't work, or won't work correctly, and more people will buy an original copy. Of course, a successful crack will appear in the course of time, but the time you buy is money earned. Really good protection will buy a considerable amount of time and will engender several versions of the crack, some of which w

Even as you read this content, there is a revolution happening behind the scenes in the field of big data. From every coffee that you pick up from a coffee store to everything you click or purchase online, almost every transaction, click, or choice of yours is getting analyzed. From this analysis, a lot of deductions are now being made to offer you new stuff and better choices according to your likes. These techniques and associated technologies are picking up so fast that as developers we all should be a part of this new wave in the field of software. This would allow us better prospects in our careers, as well as enhance our skill set to directly impact the business we work for. Earlier technologies such as machine learning and artificial intelligence used to sit in the labs of many PhD students. But with the rise of big data, these technologies have gone mainstream now. So, using these technologies, you can now predict which advertisement the user is going to click on next, or which product they would like to buy, or it can also show whether the image of a tumor is cancerous or not. The opportunities here are vast. Big data in itself consists of a whole lot of technologies whether cluster computing frameworks such as Apache Spark or Tez or distributed filesystems such as HDFS and Amazon S3 or real-time SQL on underlying data using Impala or Spark SQL. This book provides a lot of information on big data technologies, including machine learning, graph analytics, real-time analytics and an introductory chapter on deep learning as well. I have tried to cover both technical and conceptual aspects of these technologies. In doing so, I have used many real- world case studies to depict how these technologies can be used in real life. So this book will teach you how to run a fast algorithm on the transactional data available on an e-commerce site to figure out which items sell together, or how to run a page rank algorithm on a flight dataset to figure out the most important airports in a country based on air traffic. There are many content gems like these in the book for readers.

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