Learn .NET Parallel Programming with C# and master multithreading and parallelization concepts in a friendly and simple way.
This course is your go-to guide for diving into .NET Parallel Programming using C#. It breaks down complex topics like multithreading into tasty, bite-sized pieces so you can learn without feeling overwhelmed. Whether you're a newbie or someone with a bit of experience, you'll find helpful tips and tricks to make programming easier and more effective.
Discover the core multithreading and parallelization concepts supported by the .NET framework.
This course is about .NET Parallel Programming with C# and covers the core multithreading facilities in the .NET Framework, namely the Task Parallel Library (TPL) and Parallel LINQ (PLINQ).
This course will teach you about:
Task Programming: how to create and run tasks, cancel them, wait on them and handle exceptions that occur in tasks.
Data Sharing and Synchronization, ensuring your access to shared data also happens in a safe and consistent manner.
Concurrent Collections, such as ConcurrentBag, which operate correctly even when accessed from multiple threads.
Task Coordination concepts, including the idea of continuations, as well as uses of synchronization primitives to coordinate tasks.
Parallel Loops which let you easily iterate over a counter or collection while partitioning the data and processing it on separate threads.
Parallel LINQ, the parallel version of .NET's awesome Language-Integrated Query (LINQ) technology.
Async/Await and .NET's support for asynchronous programming.
This course is suitable for:
Beginner and experienced .NET/C# developers
Anyone interested in multi-threading, parallelism and asynchronous programming
The course consists of the following materials:
Video lectures showing hands-on programming
C# files that you can download and run
Before taking the course, you should be comfortable with the C# programming language and familiar with multi-threading.
Create and run independent tasks
Manage synchronized access to data
Effectively use parallel collections
1 Lectures
7 Lectures
7 Lectures
7 Lectures
8 Lectures
6 Lectures
6 Lectures
10 Lectures
Dmitri is a quant, developer, book author and course author. His interests lie in software development and integration practices in the areas of computation, quantitative finance and algorithmic trading. His technological interests include C# and C++ programming as well high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.
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I took this course because I need to use multithreading in my Android project, which is written in C#. After reaching section 7, I realized that I need to use async and await efficiently as it is covering all the aspects and this is what will be useful in Android. I hope to implement my tasks efficiently now but I need to practice a few times.
Der Kurs ist sehr gut und die Beispiele sind einfach gehalten. Somit ist das Thema anschaulich und gut verständlich.
Allerdings stimmt an einigen Stellen der Untertitel nicht, z.B.: falsche Wörter, Rechtschreibfehler, ...
Trotzdem kann man das Vermittelte sehr gut verstehen.
It covers many aspect of parallel programming, thanks for the efforts. But I feel some parts are faster than others and their examples are not sufficient. If tutor add some best practice and some comments, then it would be very good for learners. Thanks again for the good class.
ok
please revise the video and add to some topics
It is very fast paced.
good
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Fabien C.
Très bon cours d'introduction, Toute la théory est là. Mais des exemple plus concrets de cas d'utilisation et un exemple de programme un peu plus complexe aurait été les bienvenus