$49.99 | BESTSELLER | Last updated 5/2019
Duration: 5 hours | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | 666 MB
Genre: eLearning | Language: English + Sub | 50 lectures

What you'll learn

Create and run independent tasks

Manage synchronized access to data

Effectively use parallel collections

Work with task continuations

Write parallel loops

Leverage the power of Parallel LINQ

Master asynchronous programming (async/await)

Requirements

Basic knowledge of C# and .NET framework
Basic knowledge of multithreading

Description

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 аbout:
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.

Who this course is for:

Beginner and experienced .NET developers
Computer Science students
Anyone interested in modern approaches to multithreading/parallelism
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