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Filip Ekberg

Learn how to effectively apply multithreaded principles in any type of .NET application using parallel extensions. This course will give you the insight to build fast, powerful, and easy to maintain applications.

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Learn how to effectively apply multithreaded principles in any type of .NET application using parallel extensions. This course will give you the insight to build fast, powerful, and easy to maintain applications.

Utilizing multithreaded principles is crucial for building fast processing and performant applications. In this course, Building Multithreaded C# 8 Applications with the Task Parallel Library, you’ll learn foundational knowledge to efficiently apply the parallel programming and multithreaded principles to build fast and solid applications. First, you’ll explore fundamentals of multithreading and how it fits into your .NET applications, and how it ties together with the task parallel library. Next, you’ll discover how parallel programming is different from asynchronous programming and how to use the parallel extensions to perform fast computations, which utilizes all your available processing power. Finally, you’ll learn how to adapt in advanced scenarios, and where deeper knowledge of multithreading may be required. When you’re finished with this course, you’ll have the skills and knowledge of how to apply the parallel programming principles in any type of .NET application.

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What's inside

Syllabus

Course Overview
Getting Started with Parallel Programming and Multithreading in C#
Advanced Parallel Programming: Understanding Locking, Shared Variables and Best Practices
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Using Parallel LINQ (PLINQ)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for C# programmers needing a solid foundation in multithreading principles to build efficient and high-performance applications
Taught by Filip Ekberg, an experienced instructor known for his work in software development
Emphasizes practical application of multithreading concepts in real-world scenarios
Covers essential topics like parallel programming, task parallel library, and advanced locking techniques

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Multithreaded C# 8 Applications with the Task Parallel Library with these activities:
Learn Parallel LINQ (PLINQ)
Enhance knowledge of parallel programming by exploring Parallel LINQ techniques.
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  • Understand the fundamentals of Parallel LINQ.
  • Apply Parallel LINQ to perform data-parallel operations.
  • Compare and contrast Parallel LINQ with other parallel programming approaches.
Practice Parallel Programming Scenarios
Reinforce learning by testing understanding of parallel programming scenarios.
Browse courses on Parallel Programming
Show steps
  • Identify multithreaded principles in sample code.
  • Develop parallel algorithms for different scenarios.
  • Implement multithreaded solutions using the Task Parallel Library.
Explore Advanced Multithreading Techniques
Enhance understanding of advanced multithreading techniques to improve application performance.
Browse courses on Locking
Show steps
  • Investigate synchronization mechanisms for multithreaded environments.
  • Examine best practices for handling shared variables.
  • Identify potential multithreading pitfalls and develop strategies to avoid them.
Show all three activities

Career center

Learners who complete Building Multithreaded C# 8 Applications with the Task Parallel Library will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve problems and make predictions. As more and more data is collected, the demand for Data Scientists increases. This course may be useful for Data Scientists who want to learn how to effectively apply multithreaded principles to analyze large amounts of data.
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. As machine learning becomes more and more popular, the demand for Machine Learning Engineers increases. This course may be useful for Machine Learning Engineers who want to learn how to effectively apply multithreaded principles to build fast and powerful machine learning models.
Software Engineer
Software Engineers build and improve computer software. They are in high demand due to the increasing need for computer technology. This course may be useful for Software Engineers who want to learn how to efficiently apply multithreaded principles to build fast and solid applications.
Web Developer
Web Developers create and maintain websites. As more and more businesses move online, the demand for Web Developers increases. This course may be useful for Web Developers who want to learn how to effectively apply multithreaded principles to build fast and powerful web applications.
Computer Scientist
Computer Scientists research and develop new computer technologies. As the field of computer science continues to grow, the demand for Computer Scientists increases. This course may be useful for Computer Scientists who want to learn how to effectively apply multithreaded principles to build fast and reliable computer systems.
Mechanical Engineer
Mechanical Engineers design and develop mechanical systems. As the use of machines increases, the demand for Mechanical Engineers increases. This course may be useful for Mechanical Engineers who want to learn how to effectively apply multithreaded principles to build fast and reliable mechanical systems.
Game Developer
Game Developers create and maintain video games. As the video game industry continues to grow, the demand for Game Developers increases. This course may be useful for Game Developers who want to learn how to effectively apply multithreaded principles to build fast and powerful video games.
DevOps Engineer
DevOps Engineers bridge the gap between software development and operations teams. As more and more companies adopt DevOps practices, the demand for DevOps Engineers increases. This course may be useful for DevOps Engineers who want to learn how to effectively apply multithreaded principles to build fast and reliable software systems.
Cloud Engineer
Cloud Engineers build and maintain cloud computing systems. As more and more businesses move to the cloud, the demand for Cloud Engineers increases. This course may be useful for Cloud Engineers who want to learn how to effectively apply multithreaded principles to build fast and reliable cloud systems.
Electrical Engineer
Electrical Engineers design and develop electrical systems. As the use of electricity increases, the demand for Electrical Engineers increases. This course may be useful for Electrical Engineers who want to learn how to effectively apply multithreaded principles to build fast and reliable electrical systems.
Software Architect
Software Architects design and develop large-scale software systems. As software systems become more and more complex, the demand for Software Architects increases. This course may be useful for Software Architects who want to learn how to effectively apply multithreaded principles to build fast and reliable software systems.
Mobile Developer
Mobile Developers create and maintain software for mobile devices. As more and more people use mobile devices, the demand for Mobile Developers increases. This course may be useful for Mobile Developers who want to learn how to effectively apply multithreaded principles to build fast and powerful mobile applications.
Research Scientist
Research Scientists conduct research in a variety of fields, including computer science. As the demand for new technologies increases, the demand for Research Scientists increases. This course may be useful for Research Scientists who want to learn how to effectively apply multithreaded principles to build fast and reliable computer systems.
Computer Engineer
Computer Engineers design and develop computer hardware and software. As computers become more and more complex, the demand for Computer Engineers increases. This course may be useful for Computer Engineers who want to learn how to effectively apply multithreaded principles to build fast and reliable computer systems.
Embedded Systems Engineer
Embedded Systems Engineers design and develop embedded systems, which are computer systems that are part of a larger system. Embedded systems are used in a variety of applications, including cars, medical devices, and industrial equipment. This course may be useful for Embedded Systems Engineers who want to learn how to effectively apply multithreaded principles to embedded systems.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Multithreaded C# 8 Applications with the Task Parallel Library.
Provides a comprehensive overview of the Common Language Runtime (CLR) and its role in .NET applications. It covers topics such as memory management, threading, and security, which are essential for understanding multithreaded programming in C#.
Provides a collection of recipes for solving common concurrency problems in C#. It covers topics such as thread synchronization, data structures, and algorithms, which are essential for building efficient and reliable multithreaded applications.
Provides a comprehensive overview of C# 8.0, including topics such as delegates, lambda expressions, and async programming, which are essential for understanding multithreaded programming in C#.
Provides a comprehensive overview of advanced C# 8.0 programming, including topics such as delegates, lambda expressions, and async programming, which are essential for understanding multithreaded programming in C#.
Provides a comprehensive overview of concurrency, including topics such as thread synchronization, data structures, and algorithms, which are essential for understanding multithreaded programming in C#.
Provides a comprehensive overview of concurrent programming in Java, including topics such as thread synchronization, data structures, and algorithms, which are essential for understanding multithreaded programming in C#.
Provides a comprehensive overview of Java, including topics such as object-oriented programming, threads, and concurrency, which are essential for understanding multithreaded programming in C#.
Provides a comprehensive overview of concurrent programming in Java, including topics such as thread synchronization, data structures, and algorithms, which are essential for understanding multithreaded programming in C#.

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