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lnet_tutor/learning_plans
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2025-10-22 20:14:31 +08:00

Learning Plans - Your Personal Tech Learning Hub

🎓 Welcome to Your Learning Journey!

This directory contains comprehensive, structured learning plans for various technologies. Each subject has its own folder with detailed roadmaps, knowledge graphs, assessments, and progress tracking tools.


📁 Available Learning Plans

🐍 Python

Path: python/ Goal: Advanced Python Mastery Duration: 12-18 months Status: Complete learning plan available

What's Included:

  • Complete roadmap from beginner to expert
  • Detailed knowledge graph with dependencies
  • Initial assessment to determine your level
  • Progress tracking templates
  • 32 structured modules
  • 5 learning phases
  • Specialization paths

🔧 C++

Path: cpp/ Goal: C++ Expert Mastery Duration: 14-20 months Status: Complete learning plan available

What's Included:

  • Complete roadmap from basics to expert
  • 42 modules covering C++23
  • Knowledge graph with 12 levels
  • Initial assessment with 6 coding challenges
  • 6 specialization paths (Game Dev, Systems, HPC, Embedded, Graphics, Financial)
  • Modern C++ focus (C++11/14/17/20/23)
  • Memory management & performance optimization

📐 Linear Algebra

Path: linear_algebra/ Goal: Advanced Linear Algebra with Applications Duration: 6-10 months Status: Complete learning plan available

What's Included:

  • Complete roadmap from vectors to applications
  • 22 modules covering theory and practice
  • Knowledge graph with 15 levels
  • Initial assessment with 6 computational problems
  • 4 specialization paths (ML, Computational, Quantum, Advanced Apps)
  • Heavy integration with Python/NumPy
  • Applications in ML, graphics, data science, quantum computing
  • Visual learning emphasis (3Blue1Brown integration)

🌐 Django

Path: django/ Goal: Full-Stack Django Development Duration: 6-9 months Status: 📝 Coming soon


🎨 Angular

Path: angular/ Goal: Advanced Angular Development Duration: 6-8 months Status: 📝 Coming soon


💾 Database

Path: database/ Goal: Database Design & Optimization Duration: 4-6 months Status: 📝 Coming soon


🚀 DevOps

Path: devops/ Goal: DevOps Engineering Duration: 8-10 months Status: 📝 Coming soon


🗺️ How to Use This System

Step 1: Choose Your Subject

Navigate to the subject folder you want to learn (e.g., python/)

Step 2: Read the Master Plan

Start with 00_*_MASTER_PLAN.md to understand:

  • Overall learning journey
  • Time commitment
  • Phases and modules
  • Resources needed

Step 3: Review Knowledge Graph

Check 01_KNOWLEDGE_GRAPH.md to see:

  • All topics covered
  • Dependencies between topics
  • Learning order
  • Prerequisite requirements

Step 4: Take Initial Assessment

Complete 02_INITIAL_ASSESSMENT.md to:

  • Determine your current level
  • Identify knowledge gaps
  • Get personalized recommendations
  • Set realistic goals

Step 5: Track Your Progress

Use 03_PROGRESS_TRACKER.md to:

  • Monitor module completion
  • Record exam scores
  • Log study time
  • Track skill mastery levels
  • Celebrate milestones

Step 6: Integrate with Exam System

The tutor system exam platform (/exam_system/) is integrated with these learning plans:

  • Take regular quizzes and exams
  • Get automatic scoring
  • Track weak areas
  • Receive targeted practice

📊 Learning Approach

Our Philosophy

  1. Structured Learning: Follow proven learning paths
  2. Spaced Repetition: Review concepts regularly
  3. Active Practice: Learn by doing, not just reading
  4. Assessment-Driven: Regular testing identifies gaps
  5. Project-Based: Build real applications
  6. Community-Oriented: Learn and teach others

Mastery Levels

We use a 5-level mastery system:

  • Level 0: Unfamiliar - Never encountered this concept
  • Level 1: Aware - Basic understanding, need documentation
  • Level 2: Competent - Can use with occasional reference
  • Level 3: Proficient - Can use confidently without docs
  • Level 4: Expert - Can teach, optimize, and debug complex issues

Study Rhythm

  • Daily: 30-60 minutes theory + coding
  • Weekly: Complete 1-2 modules + small project
  • Monthly: Comprehensive exam + medium project
  • Quarterly: Major project + reassessment

🎯 Goals & Milestones

Short-term Goals (3 months)

  • Complete foundation phase of chosen subject
  • Build 3-5 small projects
  • Pass all beginner-level exams
  • Establish daily study routine

Medium-term Goals (6-12 months)

  • Reach intermediate/advanced level
  • Build portfolio projects
  • Contribute to open source
  • Start specialization

Long-term Goals (12-18 months)

  • Achieve expert level in core areas
  • Master chosen specialization
  • Publish packages/articles
  • Get professional opportunities

📚 Integrated Resources

Exam System

Location: /exam_system/

  • Auto-graded quizzes
  • Comprehensive exams
  • Progress analytics
  • Weak area identification

Documentation

Location: /docs/

  • System specifications
  • Exam format guides
  • API documentation

Practice Projects

Location: /projects/ (coming soon)

  • Starter templates
  • Solution guides
  • Code reviews

🔄 Learning Cycle

1. Learn Theory
   ↓
2. Practice Coding
   ↓
3. Build Project
   ↓
4. Take Quiz/Exam
   ↓
5. Review Mistakes
   ↓
6. Repeat & Advance

💡 Learning Tips

For Absolute Beginners

  1. Don't rush - focus on deep understanding
  2. Code every day, even if just 15 minutes
  3. Ask questions freely
  4. Use "I don't know" option in exams honestly
  5. Build simple projects first

For Intermediate Learners

  1. Read others' code regularly
  2. Refactor your old code
  3. Learn design patterns
  4. Contribute to open source
  5. Teach beginners

For Advanced Learners

  1. Study source code of frameworks
  2. Optimize for performance
  3. Write technical articles
  4. Mentor others
  5. Build complex systems

🎓 Certification Path

As you progress through the learning plans, you'll build a portfolio of:

  • Completed exams with scores
  • Project repositories
  • Code contributions
  • Technical articles
  • Presentations/talks

This serves as your personal certification demonstrating real skills.


🤝 Community & Support

Get Help

  • Use exam system's discussion forum (coming soon)
  • Join Python/Django/Angular communities
  • Stack Overflow for specific questions
  • GitHub Issues for technical problems

Give Help

  • Answer questions from beginners
  • Review others' code
  • Share your projects
  • Write about what you learned

📈 Success Metrics

Track these to measure your progress:

  • Knowledge Coverage: % of topics at Level 2+
  • Exam Performance: Average score across all exams
  • Project Completion: Number of working projects
  • Study Consistency: Days with study activity
  • Community Contribution: Questions answered, PRs merged

🚀 Getting Started Checklist

  • ☐ Choose your primary learning subject
  • ☐ Read the master plan for that subject
  • ☐ Complete initial assessment
  • ☐ Set up development environment
  • ☐ Schedule daily study time
  • ☐ Join relevant communities
  • ☐ Start Module 1
  • ☐ Take your first quiz
  • ☐ Build your first project
  • ☐ Log your progress

📝 Maintenance & Updates

These learning plans are living documents that will be updated:

  • Weekly: Add new practice problems
  • Monthly: Update based on latest tech trends
  • Quarterly: Refine based on learner feedback
  • Yearly: Major revisions and new subjects

🌟 Success Stories

As you progress, document your journey:

  • What was your starting level?
  • What challenges did you face?
  • What breakthroughs did you have?
  • What projects are you proud of?
  • Where are you now?

Your story will inspire future learners!


📬 Feedback

Found something unclear? Have suggestions?

  • Create an issue in the repository
  • Suggest new topics or modules
  • Share your learning experience
  • Contribute improvements

🎉 Final Words

Remember:

  • Learning is a marathon, not a sprint
  • Consistency beats intensity
  • Mistakes are learning opportunities
  • Community makes learning better
  • You can do this! 🚀

Start your journey today!

Navigate to your chosen subject folder and begin with the Master Plan.

Happy Learning! 🎓