This Guided Project "Advanced .NET with TPL & PLINQ: Conducting Performance Boost" is designed for intermediate software developers interested in incorporating parallelism into their .NET projects. In this 1-hour long project-based course, you will learn how to implement parallel processing techniques using Task Parallel Library (TPL) and optimize data queries with Parallel LINQ (PLINQ). Additionally, you will learn to evaluate the performance improvements achieved through TPL and PLINQ and troubleshoot common issues related to parallel and asynchronous programming to ensure the reliability and efficiency of the system.
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This Guided Project "Advanced .NET with TPL & PLINQ: Conducting Performance Boost" is designed for intermediate software developers interested in incorporating parallelism into their .NET projects. In this 1-hour long project-based course, you will learn how to implement parallel processing techniques using Task Parallel Library (TPL) and optimize data queries with Parallel LINQ (PLINQ). Additionally, you will learn to evaluate the performance improvements achieved through TPL and PLINQ and troubleshoot common issues related to parallel and asynchronous programming to ensure the reliability and efficiency of the system.
This Guided Project "Advanced .NET with TPL & PLINQ: Conducting Performance Boost" is designed for intermediate software developers interested in incorporating parallelism into their .NET projects. In this 1-hour long project-based course, you will learn how to implement parallel processing techniques using Task Parallel Library (TPL) and optimize data queries with Parallel LINQ (PLINQ). Additionally, you will learn to evaluate the performance improvements achieved through TPL and PLINQ and troubleshoot common issues related to parallel and asynchronous programming to ensure the reliability and efficiency of the system.
To achieve this, we will work through tasks including creating and managing parallel tasks, handling task success and failure, incorporating task cancellation, and performing parallel data queries and transformations.
This project is unique because it focuses on practical, hands-on applications of TPL and PLINQ to optimize the performance of data processing tasks in a simulated healthcare information system. To be successful in this project, you will need a basic understanding of .NET and C# programming, familiarity with asynchronous programming, and experience with LINQ.
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Activities
Review C# Programming Basics
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Revisit essential C# concepts to strengthen understanding for parallel programming
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C# Programming
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Review syntax, data types, and control flow
-
Practice writing simple C# programs
Gather Course Materials
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Organize all course materials such as notes, assignments, quizzes, and exams, in one location
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-
Create a dedicated folder or notebook for the course
-
Print or download all syllabus, assignments, and lecture notes
-
Organize materials by topic or week
-
Review materials regularly
Review asynchronous programming concepts
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Refresh your knowledge of asynchronous programming concepts to lay a solid foundation for understanding TPL and PLINQ.
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Asynchronous Programming
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Review Async/Await patterns
-
Understand the benefits and challenges of asynchronous programming
-
Explore concepts like tasks, continuations, and concurrency
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Follow TPL and PLINQ Video Tutorials
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Supplement classroom learning with interactive video tutorials to reinforce TPL and PLINQ concepts
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Parallel Programming
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Find reputable video tutorials from online platforms
-
Watch and understand the tutorials
-
Practice the concepts shown in the tutorials
Participate in a study group or discussion forum
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Connect with fellow learners to share knowledge, troubleshoot challenges, and deepen your understanding of TPL and PLINQ concepts.
Show steps
-
Join or create a study group or discussion forum
-
Actively participate in discussions, share insights, and ask questions
-
Assist other learners and provide support
Solve TPL and PLINQ Coding Challenges
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Sharpen problem-solving skills and apply TPL and PLINQ concepts through coding exercises
Browse courses on
Parallel Programming
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-
Find coding challenges online or in resources
-
Code solutions independently
-
Review and optimize solutions
Implement parallel task creation and execution
Show steps
Practice creating and managing parallel tasks to develop a solid understanding of TPL's core concepts.
Browse courses on
Task Parallel Library
Show steps
-
Create tasks using Task.Factory.StartNew() and Task.Run()
-
Manage task execution using Wait(), WaitAll(), and WaitAny()
-
Handle task success and failure using ContinueWith()
Perform parallel data queries using PLINQ
Show steps
Gain practical experience in optimizing data queries using PLINQ to enhance performance in real-world scenarios.
Show steps
-
Query data sources using AsParallel()
-
Apply parallel transformations like Select(), Where(), and Aggregate()
-
Understand the usage of OrderBy and OrderByDescending in parallel queries
-
Handle exceptions and errors in parallel data queries
Create a parallel implementation of a sorting algorithm
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Apply your understanding of parallel programming by developing a parallel version of a sorting algorithm, enhancing your problem-solving skills.
Browse courses on
Sorting Algorithms
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-
Choose a sorting algorithm (e.g., Merge Sort, Quick Sort)
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Design a parallel implementation using TPL
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Implement the parallel sorting algorithm
-
Test and evaluate the performance of your parallel implementation
-
Compare the performance with the original sequential implementation
Connect with Experienced Developers
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Seek guidance and support from experienced developers in the field of parallel programming
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Mentorship
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-
Attend industry events and meetups
-
Reach out to professionals on LinkedIn
-
Join online communities and forums
Contribute to an open-source project using TPL and PLINQ
Show steps
Engage with the open-source community by contributing to a project that utilizes TPL and PLINQ, expanding your practical knowledge and gaining valuable experience.
Browse courses on
Community Involvement
Show steps
-
Identify an open-source project that uses TPL and PLINQ
-
Understand the project's codebase and contribution guidelines
-
Propose and implement a feature or enhancement using TPL and PLINQ
-
Submit a pull request and engage in code reviews
Build a Parallel Data Processing Application
Show steps
Apply TPL and PLINQ to design and implement a real-world application that demonstrates performance improvements
Browse courses on
Software Development
Show steps
-
Define application requirements and architecture
-
Code the application using TPL and PLINQ
-
Test and evaluate performance
-
Document the application
Review C# Programming Basics
Show steps
Revisit essential C# concepts to strengthen understanding for parallel programming
Browse courses on
C# Programming
Show steps
- Review syntax, data types, and control flow
- Practice writing simple C# programs
Gather Course Materials
Show steps
Organize all course materials such as notes, assignments, quizzes, and exams, in one location
Show steps
- Create a dedicated folder or notebook for the course
- Print or download all syllabus, assignments, and lecture notes
- Organize materials by topic or week
- Review materials regularly
Review asynchronous programming concepts
Show steps
Refresh your knowledge of asynchronous programming concepts to lay a solid foundation for understanding TPL and PLINQ.
Browse courses on
Asynchronous Programming
Show steps
- Review Async/Await patterns
- Understand the benefits and challenges of asynchronous programming
- Explore concepts like tasks, continuations, and concurrency
Follow TPL and PLINQ Video Tutorials
Show steps
Supplement classroom learning with interactive video tutorials to reinforce TPL and PLINQ concepts
Browse courses on
Parallel Programming
Show steps
- Find reputable video tutorials from online platforms
- Watch and understand the tutorials
- Practice the concepts shown in the tutorials
Participate in a study group or discussion forum
Show steps
Connect with fellow learners to share knowledge, troubleshoot challenges, and deepen your understanding of TPL and PLINQ concepts.
Show steps
- Join or create a study group or discussion forum
- Actively participate in discussions, share insights, and ask questions
- Assist other learners and provide support
Solve TPL and PLINQ Coding Challenges
Show steps
Sharpen problem-solving skills and apply TPL and PLINQ concepts through coding exercises
Browse courses on
Parallel Programming
Show steps
- Find coding challenges online or in resources
- Code solutions independently
- Review and optimize solutions
Implement parallel task creation and execution
Show steps
Practice creating and managing parallel tasks to develop a solid understanding of TPL's core concepts.
Browse courses on
Task Parallel Library
Show steps
- Create tasks using Task.Factory.StartNew() and Task.Run()
- Manage task execution using Wait(), WaitAll(), and WaitAny()
- Handle task success and failure using ContinueWith()
Perform parallel data queries using PLINQ
Show steps
Gain practical experience in optimizing data queries using PLINQ to enhance performance in real-world scenarios.
Show steps
- Query data sources using AsParallel()
- Apply parallel transformations like Select(), Where(), and Aggregate()
- Understand the usage of OrderBy and OrderByDescending in parallel queries
- Handle exceptions and errors in parallel data queries
Create a parallel implementation of a sorting algorithm
Show steps
Apply your understanding of parallel programming by developing a parallel version of a sorting algorithm, enhancing your problem-solving skills.
Browse courses on
Sorting Algorithms
Show steps
- Choose a sorting algorithm (e.g., Merge Sort, Quick Sort)
- Design a parallel implementation using TPL
- Implement the parallel sorting algorithm
- Test and evaluate the performance of your parallel implementation
- Compare the performance with the original sequential implementation
Connect with Experienced Developers
Show steps
Seek guidance and support from experienced developers in the field of parallel programming
Browse courses on
Mentorship
Show steps
- Attend industry events and meetups
- Reach out to professionals on LinkedIn
- Join online communities and forums
Contribute to an open-source project using TPL and PLINQ
Show steps
Engage with the open-source community by contributing to a project that utilizes TPL and PLINQ, expanding your practical knowledge and gaining valuable experience.
Browse courses on
Community Involvement
Show steps
- Identify an open-source project that uses TPL and PLINQ
- Understand the project's codebase and contribution guidelines
- Propose and implement a feature or enhancement using TPL and PLINQ
- Submit a pull request and engage in code reviews
Build a Parallel Data Processing Application
Show steps
Apply TPL and PLINQ to design and implement a real-world application that demonstrates performance improvements
Browse courses on
Software Development
Show steps
- Define application requirements and architecture
- Code the application using TPL and PLINQ
- Test and evaluate performance
- Document the application
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