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Total Size:
6.3 MB
Info Hash:
75181AEF659D06289D4AFCEC10056ABC3E6B935B
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Added:
April 20, 2026, 8:32 a.m.
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(Last updated: April 20, 2026, 8:32 a.m.)
| File | Size |
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| ['Rose O. Efficient Code with C# 2024.pdf'] | 0 bytes |
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5.3 GB
[14
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2025-10-01
| Uploaded by IGGGAMESCOM | Size 5.3 GB | Health [ 14 /12 ] | Added 2025-10-01 |
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40.3 MB
[25
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2025-09-30
| Uploaded by andryold1 | Size 40.3 MB | Health [ 25 /10 ] | Added 2025-09-30 |
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399.6 MB
[137
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2024-12-30
| Uploaded by GalaxyRG | Size 399.6 MB | Health [ 137 /4 ] | Added 2024-12-30 |
NOTE
SOURCE: Rose O. Efficient Code with C# 2024
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COVER
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MEDIAINFO
Textbook in PDF format Unlock the full potential of C# by learning how to write faster, cleaner, and more efficient code. Efficient Code with C# is your go-to resource for taking your development skills to the next level. Whether you're optimizing performance, managing memory more effectively, or building scalable applications, this book provides clear, practical guidance grounded in real-world experience. Designed for intermediate to advanced developers, this book focuses on writing code that not only works but excels—code that is maintainable, robust, and ready for production. You’ll explore critical concepts such as memory management, multithreading, data structure selection, and performance profiling, all within the C# and .NET ecosystem. With hands-on examples, expert tips, and proven techniques, you'll gain the confidence to make smarter coding decisions and build high-performance applications that stand the test of time. If you're serious about understanding C#, this book is an essential addition to your professional toolkit. Writing efficient C # code doesn't begin with advanced optimization techniques or complex algorithms. It starts with clarity. Clean code is not just aesthetically pleasing—it’s foundational to maintainability, collaboration, performance tuning, and scalability. In this chapter, we’ll explore the core principles of clean code with a C# lens, focusing on naming conventions, formatting, function structure, and overall code clarity. Whether you're writing business logic, handling asynchronous operations, or building performance-critical services, applying clean code principles helps ensure that your solutions are robust, easy to read, and easy to evolve. Whether you're working on desktop, web, or backend systems, the principles in this book will help you think more critically about how you write and structure your code. The goal isn’t just to code faster—it’s to code smarter. Let’s dive in and explore how to unlock the full potential of C# through thoughtful, efficient design. Preface Foundations of Efficient Coding The Pillars of Clean Code in C# Maintainability and Its Long-Term Impact Performance Starts with Good Design The Cost of Neglecting Efficiency A Pragmatic Approach to Writing Better Code Clean Code Principles in C# Why Clean Code Matters in C# Naming: Clarity Through Precision Meaningful and Descriptive Names Naming Conventions in C# Avoid Noise Words Formatting: Structure That Speaks Indentation and Braces Vertical Spacing Line Length and Readability Functions: Focused, Short, and Intentional Function Length Function Parameters Avoiding Magic Numbers and Strings Comments: Write Code That Doesn’t Need Them Code Smells to Avoid Example of Guard Clause Tools and Practices That Enforce Clean Code Conclusion Code Smells and Refactoring Long Methods Duplicated Code Excessive Object Allocation Magic Numbers and Strings Unused or Dead Code Designing for Maintainability The Importance of Maintainability Structuring the Project: Folders and Boundaries Example Folder Structure Designing with Abstraction Layers Naming Conventions: Clarity and Consistency Enabling Testing and Decoupling Supporting Unit and Integration Testing Refactoring for Maintainability Documentation and Developer Onboarding Memory Management in .NET Understanding the .NET Memory Model Garbage Collection in .NET Avoiding Memory Leaks Practical Tips for Efficient Memory Use Profiling and Diagnostics Performance Costs of Boxing and Unboxing Heap Allocation Cache Locality Loss Garbage Collection Impact Type Safety Risks Common Scenarios Where Boxing Happens Using Value Types with object Value Types in Non-Generic Collections Implementing Interfaces String Formatting Alternatives and Best Practices Use Generics Use Span and Memory Use ToString Carefully Minimize Interface Usage with Structs Avoid LINQ with Value Types in Hot Paths Measuring the Impact Conclusion. Multithreading and Concurrency
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