Accelerated C# 2005 teaches you both how to use core C# language concepts and wisely employ C# idioms and object-oriented design patterns--to exploit the power of C# and the common language runtime. You'll quickly master C# syntax while learning how the CLR simplifies many programming tasks. You'll also learn best practices that ensure your code will be efficient, reusable, and robust.
This book is the fastest path to C# mastery for anyone familiar with object-oriented programming. Many books introduce C#, but very few also explain how to use it optimally with the .NET CLR. Why spend months or years discovering the best ways to design and code C#, when this book will show you how to do things the right way, right from the start?
You'll want a copy of this book because it
- Covers all new features of C# 2.0
- Describes and explains C# idioms and design patterns
- Presents canonical forms for C# classes and structs
- Quickly leads to true understanding and mastery of C#
- Demonstrates bullet-proof, exception-safe code and efficient multithreaded applications
Software Industry Accounting (with CD-ROM) The software industry is being inundated with important accounting and valuation questions. The rules and regulations governing accounting of the software industry are very different from other industries. The software industry has unique accounting concerns, such as capitalization of development costs and software revenue recognition. This book... Getting Started with Twitter Flight
Work through building a simple application from scratch with clear,...
Color Management The book describes color management for the print production with a focus on implementing standards for separation, soft proof, contract proof, data delivery and printing.
The basics and strategies are targeted at setting up vendor-independent color management workflows which can easily be realized with leading applications from e.g. Adobe,...
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection...