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20750859
Hands-On Parallel Programming with C# 8 and .NET Core 3: Build solid enterprise software using task parallelism and multithreading
86% of respondents would recommend this to a friend
Preces #:
20750859
€ 62
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Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors.
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What Stands Out
Practical Approach
Offers real-world examples and hands-on exercises that enhance learning and application of parallel programming principles directly in enterprise software development with C#.
Modern Syntax
Utilizes C# 8 and .NET Core 3 features, ensuring that readers are up-to-date with the latest programming practices and improvements in performance and usability.
Focus on Efficiency
Teaches task parallelism and multithreading techniques that significantly improve application performance, making it a vital resource for developers looking to optimize their code.
Produkta informācija
- Master parallel programming techniques in .NET and C#
- Write efficient, fine-grained, and scalable parallel code with C# and .NET Core
- Learn multithreading fundamentals by working with IIS and Kestrel
- Explore PLINQ queries and factors impacting their performance
- Understand synchronization primitives available in .NET Core
- Suitable for beginners and experienced architects with prior knowledge of C#
| Publisher | Packt Publishing |
| Publication date | December 20, 2019 |
| Language | English |
| Print length | 346 pages |
| ISBN-10 | 178913241X |
| ISBN-13 | 978-1789132410 |
| Item Weight | 1.31 pounds (590 grams) |
| Dimensions | 7.5 x 0.78 x 9.25 inches (19.1 x 2 x 23.5 cm) |
Who Should Buy?
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Software Developers
Ideal for developers looking to enhance their skills in task parallelism and multithreading using C# 8 and .NET Core 3.
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Enterprise Architects
Useful for architects seeking to design robust enterprise applications leveraging modern parallel programming techniques in C#.
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Students and Learners
Perfect for students wanting to understand parallel programming concepts hands-on within a practical C# and .NET Core context.
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Beginner Programmers
Not suitable for those with no prior programming experience, as concepts may be too advanced without foundational knowledge.
PRODUKTA APRAKSTS
Hands-On Parallel Programming with C# 8 and .NET Core 3: Build solid enterprise software using task parallelism and multithreading
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.NET Editorial Review
The Hands-On Parallel Programming with C# 8 and .NET Core 3 book is a hit or miss for readers. Some reviewers find it poorly written and hard to understand while others describe it as awesome and a must-have for technically savvy people. Those who feel that it was not worth the price paid, find that it does not enhance the reader's understanding of parallel programming but instead, simply lists methods under various headings with no suggestions on when to use different techniques. However, those who find it helpful, feel that the book is easy to understand both the basic and advanced aspects of parallelism and multithreading in C#. The book covers every aspect of parallelism and even creates a foundation and builds advanced blocks on it. In summary, the book may be helpful to some readers while not so much for others.
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Pros
- Covers every aspect of parallelism
- Easy to understand for some readers
- Provides relevant and detailed examples
Mīnusi
- Poorly written for some readers
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€ 62
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Funkcijas un priekšrocības
- Learn to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8.
- Understand the fundamentals of threading and concurrency to create responsive applications that are not CPU-intensive.
- Gain insights into the data structure in .NET Core that supports parallelism and perform asynchronous programming in C#.
- Discover the synchronization primitives available in .NET Core and learn to make the most of server resources.
- Use test-driven development to run unit tests on your parallel code and learn best practices.
- Suitable for both beginners and experienced architects looking to gain insights into the different threading models supported.
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