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Learn C# Programming

You're reading from   Learn C# Programming A guide to building a solid foundation in C# language for writing efficient programs

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789805864
Length 636 pages
Edition 1st Edition
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Authors (4):
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Raffaele Rialdi Raffaele Rialdi
Author Profile Icon Raffaele Rialdi
Raffaele Rialdi
Ankit Sharma Ankit Sharma
Author Profile Icon Ankit Sharma
Ankit Sharma
Prakash Tripathi Prakash Tripathi
Author Profile Icon Prakash Tripathi
Prakash Tripathi
Marius Bancila Marius Bancila
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Marius Bancila
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Starting with the Building Blocks of C# 2. Chapter 2: Data Types and Operators FREE CHAPTER 3. Chapter 3: Control Statements and Exceptions 4. Chapter 4: Understanding the Various User-Defined Types 5. Chapter 5: Object-Oriented Programming in C# 6. Chapter 6: Generics 7. Chapter 7: Collections 8. Chapter 8: Advanced Topics 9. Chapter 9: Resource Management 10. Chapter 10: Lambdas, LINQ, and Functional Programming 11. Chapter 11: Reflection and Dynamic Programming 12. Chapter 12: Multithreading and Asynchronous Programming 13. Chapter 13: Files, Streams, and Serialization 14. Chapter 14: Error Handling 15. Chapter 15: New Features of C# 8 16. Chapter 16: C# in Action with .NET Core 3 17. Chapter 17: Unit Testing 18. Assessments 19. Other Books You May Enjoy

Lambda expressions

Lambda expressions are a convenient way to write anonymous functions. They are a block of code, either an expression or one or more statements, that behaves like a function and can be assigned to a delegate. As a result, a lambda expression can be passed as an argument to a function or returned from a function. They are a convenient way to write LINQ queries, pass functions to higher-order functions (including code that should be executed asynchronously by Task.Run()), and create expression trees.

An expression tree is a way to represent code in a tree-like data structure, with nodes as expressions (such as method calls or binary operations). These expression trees can be compiled and executed, which enables dynamic changes to be performed on executable code. Expression trees are used to implement LINQ providers for various data sources and in the DLR to provide interoperability between .NET Framework and a dynamic language.

Let's start with a simple example...

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