This book shows intermediate-level .NET developers how to make their applications faster and more responsive with parallel programming and concurrency in .NET and C# with practical examples. Alvin Ashcraft starts with the essentials of multi-threaded .NET development and explores how the language and framework constructs have evolved along with .NET.
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Later chapters look at the different options available today in .NET 6, followed by insights into best practices, debugging, and unit testing.
Author: Alvin Ashcraft Publisher: Packt Date: August 2022 Pages: 320 ISBN: 978-1803243672 Print: 1803243678 Kindle: B0B25CW5NF Audience: C# developers Level: Intermediate Category: C#
- Prevent deadlocks and race conditions with managed threading
- Update Windows app UIs without causing exceptions
- Explore best practices for introducing asynchronous constructs to existing code
- Avoid pitfalls when introducing parallelism to your code
- Implement the producer-consumer pattern with Dataflow blocks
- Enforce data sorting when processing data in parallel and safely merge data from multiple sources
- Use concurrent collections that help synchronize data across threads
- Debug an everyday parallel app with the Parallel Stacks and Parallel Tasks windows
For recommendations of C# books see C# Books - Pick of the Shelf in our Programmer's Bookshelf section.
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
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SQL Query Design Patterns and Best Practices
Author: Steve Hughes et al Publisher: Packt Publishing Pages: 270 ISBN: 978-1837633289 Print: 1837633282 Kindle: B0BWRD7HQ7 Audience: Query writers Rating: 2.5 Reviewer: Ian Stirk
This book aims to improve your SQL queries using design patterns, how does it fare?
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