[Issue 2276] Create "Parallel algorithms" topic outline

[daaimah123]

📝 Description

This PR creates the Parallel Algorithms topic outline by adding practical JavaScript implementations for each concept. The additions focus on introductory-level implementations that demonstrate how to apply parallel computing concepts in JavaScript for full stack engineers. These examples include Web Workers, Promise-based concurrency patterns, SharedArrayBuffer usage, and practical implementations of common parallel algorithms.

🔂 Changes Made

• Added JavaScript implementation examples to each section of the "Specific Things to Learn"
• Included code snippets for:
  • Basic Web Worker implementation
  • Task parallelism with Promise.all
  • Concurrent data structures using SharedArrayBuffer
  • Map-Reduce pattern implementation
  • Actor model with Worker threads
  • Service Worker for parallel resource caching
  • Race condition handling with Atomic operations
  • Deadlock prevention techniques
• Added explanations of why each implementation matters for full stack engineers
• Included real-world application examples for each implementation
• Ensured all code examples are properly formatted with syntax highlighting

⚙️ Related Issue

Issue Number: #2276

🍏 Type of Change

New Topic Outline

🎁 Acceptance Criteria

• Each section in "Specific Things to Learn" includes at least one JavaScript implementation example
• All code examples are functional and follow JavaScript best practices
• Each implementation includes an explanation of its relevance to full stack engineering
• Real-world applications are provided for each implementation
• Code is properly formatted and includes comments for clarity

🧪 How to test or what to evaluate

1. Review the markdown rendering of the topic outline to ensure code blocks are properly formatted
2. Copy and test the JavaScript examples in a browser environment to verify they work as expected
3. Check that the explanations are clear and accessible to career-changing populations with limited background in parallel computing
4. Verify that the implementations progress in complexity from basic to advanced