Master advanced techniques for dynamic .NET programming and accelerate productivity by automating tasks, generating adaptable code, and more
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Key Features:Employ metaprogramming to automate your tasks and increase your productivity
Write maintainable, scalable, and adaptable code using metaprogramming techniques
Leverage the .NET runtime for complex problem-solving

Book Description:
Metaprogramming is an advanced technique that helps developers to automate repetitive tasks, generate scalable code, and enhance productivity in software development. Metaprogramming in C# is a comprehensive guide that will help you reap the full potential of metaprogramming in .NET runtime.
You'll start by learning about the .NET runtime environment and how you can use it to become a more productive developer. You'll learn how to infer types using reflection, use attributes, and create dynamic proxies. You'll also explore the use of expressions to create and execute code and how to take advantage of Dynamic Language Runtime.
But that's not all! You'll also learn to go beyond inheritance and use method signature conventions to create easily maintainable code. Finally, you'll dive into the world of compiler magic with Roslyn, where you'll discover how to use Roslyn to generate code, perform static code analysis, and write your own compiler extensions.
By the end of this book, you'll have a deep understanding of metaprogramming concepts and how to apply them to your C# code. You'll be able to think about types, use attributes and expressions to generate code, and apply crosscutting concerns to improve code quality.

What You Will Learn:Explore how to leverage the .NET runtime
Improve code quality and increase productivity
Write adaptable code for changing requirements
Learn Roslyn for code generation and static analysis
Master metaprogramming and its practical implementations
Use Dynamic Language Runtime for flexible and expressive programming

Who this book is for:
This book is for C# developers interested in learning about the .NET runtime and how to leverage it for writing maintainable, scalable, and secure code. Software architects who are responsible for designing and managing complex software solutions will also benefit from the book.