Skip to main content
Apress
Book cover

Thinking in LINQ

Harnessing the Power of Functional Programming in .NET Applications

  • Book
  • © 2014

Overview

  • Shows how to optimize queries by applying theunderlying principles of functional programming built into LINQ
  • Explains how to replace old code with LINQ; leadingto cleaner, more readable code;
  • Explainscommon LINQ query errors and how to avoid them
  • Includes a list of tips thatreaders can use to tune their queries to yield faster results

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

About this book

LINQ represents a paradigm shift for developers used to an imperative/object oriented programming style, because LINQ draws on functional programming principles. Thinking in LINQ addresses the differences between these two by providing a set of succinct recipes arranged in several groups, including:

  • Basic and extended LINQ operators
  • Text processing
  • Loop refactoring
  • Monitoring code health
  • Reactive Extensions (Rx.NET)
  • Building domain-specific languages

Using the familiar "recipes" approach, Thinking in LINQ shows you how to approach building LINQ-based solutions, how such solutions are different from what you already know, and why they’re better. The recipes cover a wide range of real-world problems, from using LINQ to replace existing loops, to writing your own Swype-like keyboard entry routines, to finding duplicate files on your hard drive. The goal of these recipes is to get you "thinking in LINQ," so you can use the techniques in your own code to write more efficient and concise data-intensive applications.

Bibliographic Information

Publish with us