Beginning C++ Through Game Programming, Third Edition!!!

《Beginning C# Objects中文版:概念到代码》关注的是软件对象：什么是软件对象？为什么它们如此神奇而直白以及如何正确使用对象去构建一个软件应用？这也是一本关于C#的书，但它并非一本“C#大全”，而是一份对该语言的温文但全面的介绍，还特别强调了如何把对象模型转换到功能完备的C#应用程序。《Beginning C# Objects中文版:概念到代码》分三部分，结合C#深入浅出地阐述面向对象理论的基本内容，即从对象基本概念到对象建模，到C#代码的整个学习过程。

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大部头的python启蒙教程，虽然说是启蒙，当时将的很细很多，基本上一首在握别无所求的感觉啦。老实说我是看过很多别的python书之后才发现这本的，所以也没有go through it。不过做一本手册用还是很全面细致的

PhoneGap是一个用基于HTML，CSS和JavaScript的，创建移动跨平台移动应用程序的快速开发平台。 适用于iPhone/Android/Palm/Symbian/WP7/Bada/Blackberry 用用JavaScript+HTML5编写

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C# IS A RELATIVELY NEW LANGUAGE that was unveiled to the world when Microsoft announced the fi rst version of its .NET Framework in July 2000. Since then its popularity has rocketed, and it has arguably become the language of choice for desktop, web, and cloud developers who use the .NET Framework. Part of the appeal of C# comes from its clear syntax, which derives from C/C++ but simplifi es some things that have previously discouraged some programmers. Despite this sim- plifi cation, C# has retained the power of C++, and there is now no reason not to move into C#. The language is not diffi cult and it’s a great one to learn elementary programming techniques with. This ease of learning, combined with the capabilities of the .NET Framework, make C# an excellent way to start your programming career.

原本PDF，非影印，C#7结合VS2017，包含书上的源代码例子。This book is intended to teach you about all aspects of C# programming, including the language itself, desktop, cloud, and cross-platform programming, making use of data sources, and some new and advanced techniques. You’ll also learn about the capabilities of Visual Studio 2017 and all the ways that this product can aid your application development.

Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively across many fields such as image recognition, robotics, search engines, and self-driving cars. In this book, we will explore various real-world scenarios. We will understand what algorithms to use in a given context and write functional code using this exciting book. We will start by talking about various realms of artificial intelligence. We’ll then move on to discuss more complex algorithms, such as Extremely Random Forests, Hidden Markov Models, Genetic Algorithms, Artificial Neural Networks, and Convolutional Neural Networks, and so on. This book is for Python programmers looking to use artificial intelligence algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be helpful so you can play around with the code. It is also useful to experienced Python programmers who are looking to implement artificial intelligence techniques. You will learn how to make informed decisions about the type of algorithms you need to use and how to implement those algorithms to get the best possible results. If you want to build versatile applications that can make sense of images, text, speech, or some other form of data, this book on artificial intelligence will definitely come to your rescue! What this book covers Chapter 1, Introduction to Artificial Intelligence, teaches you various introductory concepts in artificial intelligence. It talks about applications, branches, and modeling of Artificial Intelligence. It walks the reader through the installation of necessary Python packages. Chapter 2, Classification and Regression Using Supervised Learning, covers various supervised learning techniques for classification and regression. You will learn how to analyze income data and predict housing prices. Chapter 3, Predictive Analytics with Ensemble Learning, explains predictive modeling techniques using Ensemble Learning, particularly focused on Random Forests. We will learn how to apply these techniques to predict traffic on the roads near sports stadiums. Chapter 4, Detecting Patterns with Unsupervised Learning, covers unsupervised learning algorithms including K-means and Mean Shift Clustering. We will learn how to apply these algorithms to stock market data and customer segmentation.

Beginning C# 6.0 Programming with Visual Studio 2015 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox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 查看此书详细信息请在美国亚马逊官网搜索此书