Hands-On Parallel Programming with C# 8 and .NET Core 3.0

Hands-On Parallel Programming with C# 8 and .NET Core 3.0, available at $39.99, has an average rating of 4.1, with 21 lectures, 5 quizzes, based on 16 reviews, and has 145 subscribers.

You will learn about Apply the core concept of parallel programming in .NET Core Build an application using Microsoft’s library for writing parallel code, Task Parallel Library (TPL) Design parallel execution flows using Parallel LINQ (PLINQ) Secure your parallel code from unexpected exceptions by applying efficient exception handling strategies Create parallel code using data structures that were specifically built for parallel execution optimization This course is ideal for individuals who are Developers and programmers who want to enhance the performance of their apps through parallel and concurrent programming will benefit from this course. It is particularly useful for Developers and programmers who want to enhance the performance of their apps through parallel and concurrent programming will benefit from this course.

Enroll now: Hands-On Parallel Programming with C# 8 and .NET Core 3.0

Summary

Title: Hands-On Parallel Programming with C# 8 and .NET Core 3.0

Price: $39.99

Average Rating: 4.1

Number of Lectures: 21

Number of Quizzes: 5

Number of Published Lectures: 21

Number of Published Quizzes: 5

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Apply the core concept of parallel programming in .NET Core
Build an application using Microsoft’s library for writing parallel code, Task Parallel Library (TPL)
Design parallel execution flows using Parallel LINQ (PLINQ)
Secure your parallel code from unexpected exceptions by applying efficient exception handling strategies
Create parallel code using data structures that were specifically built for parallel execution optimization

Who Should Attend

Developers and programmers who want to enhance the performance of their apps through parallel and concurrent programming will benefit from this course.

Target Audiences

Developers and programmers who want to enhance the performance of their apps through parallel and concurrent programming will benefit from this course.

With the new industry standard of increasing the processing power of machines, the concept of parallel programming was introduced as well. Concurrency has always been considered a difficult task and not many developers are confident at writing concurrent code. This course will put an end to the myth and help you become a pro at writing thread-safe code.

This course—fully comprising the latest C#8 and .NET Core 3.0 updates—will introduce you to the concepts of parallel programming in .NET Core and teach you how to take advantage of the hardware. You’ll implement TPL and PLINQ to take the best advantage of a processor and boost the speed and performance of your .NET Core applications. You’ll also apply parallel programming to your data structures.

By the end of this course, you’ll be able to parallelize your code to increase its efficiency and distribute work across multiple processors.

About the Author

Anton Selin is an IT enthusiast and expert in the fields of software architecture, innovation, and IT management, with more than 10 years of experience in the industry. For the last four years, he has worked as a software architect. He has worked at many international companies building the most sophisticated products, and as an independent consultant helping startups to develop their ideas and bring them to life.

Course Curriculum

Chapter 1: Introduction to Parallel Programming in .NET Core

Lecture 1: The Course Overview

Lecture 2: Introduction to Parallel Programming

Lecture 3: Parallel versus Async

Lecture 4: .NET Core versus Full .NET Platform

Chapter 2: Running Code in Parallel with "Task Parallel Library (TPL)"

Lecture 1: Tasks in .NET Core

Lecture 2: Task versus Facade

Lecture 3: Waiting for a Task

Lecture 4: Returning a Value from a Task

Lecture 5: Composing Tasks

Chapter 3: Exceptions Handling in Parallel Code

Lecture 1: Handling Exceptions

Lecture 2: Cancelling a Task

Lecture 3: Race Condition

Chapter 4: Performing Parallel Operations with "Parallel LINQ" (PLINQ)

Lecture 1: PLINQ and Its Applications

Lecture 2: Common Scenarios

Lecture 3: PLINQ Query Performance

Lecture 4: Identifying Potential Pitfalls

Chapter 5: Data Structures for Parallel Programming

Lecture 1: Purpose and Implementation of Data Structures

Lecture 2: Concurrent Dictionary

Lecture 3: Concurrent Queue and Concurrent Stack

Lecture 4: Concurrent Bag

Lecture 5: Async Streams in C# 8

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 5 votes
4 stars: 6 votes
5 stars: 5 votes

Frequently Asked Questions

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