React: Web Workers

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Shalom Mathew

1:21:20

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01 - Introduction

01 - Exploring web workers.mp4

00:33

02 - Course objectives and structure.mp4

02:14

03 - Importance of parallel processing.mp4

03:13

02 - 1. Optimizing Web Worker Performance

01 - Advanced optimization techniques.mp4

05:53

02 - Minimizing overhead in multi-threaded environments.mp4

04:27

03 - 2. Concurrency Patterns and Strategies

01 - Advanced concurrency patterns.mp4

03:45

02 - Efficient task parallelization.mp4

04:03

03 - Complex workflows and synchronization mechanisms.mp4

03:18

04 - 3. Shared Memory and Atomics

01 - Mastering shared memory.mp4

03:06

02 - Atomic operations for efficient data sharing.mp4

05:20

05 - 4. Offloading Complex Computations

01 - Techniques for offloading computation.mp4

02:13

02 - Real-world examples of distributed computing.mp4

03:53

06 - 5. GPU Acceleration with WebGL and WebGPU

01 - Harnessing GPU acceleration.mp4

04:24

02 - Parallel algorithms and data processing tasks.mp4

03:25

07 - 6. Concurrency Control and Deadlock Avoidance

01 - Advanced concurrency control mechanisms.mp4

04:50

02 - Deadlock avoidance and error handling.mp4

03:49

08 - 7. Web Workers and Service Workers Integration

01 - Integration for enhanced offline capabilities.mp4

05:37

02 - Seamless communication between workers.mp4

02:53

09 - 8. Real-Time Communication and WebRTC Integration

01 - WebRTC (web real-time communication).mp4

01:53

02 - WebRTC technology for peer-to-peer data exchange.mp4

02:50

10 - 9. Addressing Security Considerations and Best Practices

01 - Addressing security considerations.mp4

03:41

02 - Best practices for multi-threaded execution.mp4

03:49

11 - Conclusion

01 - Recap.mp4

02:11

Description

As web applications become more complex and user expectations rise, there's a growing demand for high-performance web experiences. Web workers offer a way to offload heavy tasks from the main UI thread, improving responsiveness and user experience. As developers seek to optimize their web applications, understanding and utilizing web workers effectively becomes important.

This advanced course goes deeply into the complexities of web workers in JavaScript, appealing to experienced developers who want to push the limits of concurrent programming and improve the speed of their web apps. Building on core knowledge, this course delves into advanced approaches, optimizations, and advanced features for maximizing the potential of web workers in complicated application settings.

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React

Shalom Mathew

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.