Blazingly Fast JavaScript

• JavaScript Performance Optimization: Gain a deep understanding of how to optimize JavaScript code for speed and efficiency by using tools like the V8 Profiler.
• Memory Management: Learn techniques to manage memory effectively, including garbage collection, memory profiling, and memory pooling.
• Data Structure Optimization: Understand when to use sets, arrays, or linked lists to optimize performance based on specific data needs.
• Asynchronous Code Optimization: Explore how to handle asynchronous operations with minimal performance impact by using promises wisely and employing callback recursion.
• WebSocket Performance: Optimize WebSocket performance in Node.js applications by reducing overhead and improving data handling.
• Advanced Profiling Techniques: Use Chrome Debugger's performance and memory tabs to identify bottlenecks and make informed optimization decisions.

This course, taught by ThePrimeagen, focuses on making JavaScript code blazingly fast by employing advanced optimization techniques. Through a practical WebSockets game demo, participants will learn to improve memory management, choose optimal data structures, and refine asynchronous code handling. The course emphasizes real-world application and hands-on learning, ensuring participants can apply these skills to their projects.

• JavaScript developers interested in performance optimization.
• Software engineers looking to enhance their skills in memory management.
• Backend developers working with Node.js who want to improve server performance.
• Students and professionals eager to learn about advanced JavaScript techniques.

• Familiarity with JavaScript and Node.js.
• Basic understanding of asynchronous programming and promises.
• Ability to install and work with Rust, Golang, and specific Node.js versions.

• Introduction: Overview of JavaScript performance optimization concepts and course objectives.
• Benchmarking & Performance Monitoring: Learn to measure and monitor JavaScript performance using a WebSockets game demo.
• Optimizing Code: Sets vs. Arrays: Explore the performance differences between sets and arrays and choose the right data structure for specific scenarios.
• Garbage Collection & Async Code: Understand garbage collection processes and optimize asynchronous code to reduce memory and CPU usage.
• Speeding Up WebSockets: Techniques for optimizing WebSocket performance in Node.js applications.
• Update & Memory Optimizations: Implement memory pools and optimize data structures for improved performance.