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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

What is a thread?

Every OS provides abstractions to allow multiple programs to share the same hardware resources, such as CPU, memory, and input and output devices. The process is one of those abstractions, providing a reserved virtual address space that its running code cannot escape from. This basic sandbox avoids the process code interfering with other processes, establishing the basis for a balanced ecosystem. The process has nothing to do with code execution, but primarily with memory.

The abstraction that takes care of code execution is the thread. Every process has at least one thread, but any process code may request the creation of more threads that will all share the same virtual address space, delimited by the owning process. Running multiple threads in a single process is roughly equivalent to a group of woodworking friends working on the same project –they need to be coordinated, paying attention to each other's progress, and taking care not to block each...

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