Add comprehensive algorithm study management system for SCLabAlgorithmStudy

[Copilot]

Overview

This PR transforms the SCLabAlgorithmStudy repository into a fully-functional algorithm study management system for coding test preparation. The implementation provides a complete structure for managing weekly problem sets from Baekjoon, LeetCode, and Programmers, organized by date and problem type.

Problem Statement

The repository needed a system to manage an algorithm study group targeting major company job interviews, with the following requirements:

• Support for problems from Baekjoon (BOJ), LeetCode, and Programmers platforms
• Weekly problem sets of 3-4 problems
• Organization by date and problem type
• Clear tracking and categorization system

What's New

📚 Enhanced Documentation

• README.md: Comprehensive study guide including:

  • Study overview and rules (3-4 problems per week)
  • Clear directory structure visualization
  • Problem classification system (data structures, algorithms, difficulty levels)
  • Getting started guide with git workflow
  • Best practices and tips

• CONTRIBUTING.md: Detailed contribution guidelines covering:

  • Solution submission workflow with branch naming conventions
  • File naming rules and commit message standards
  • Pull request templates
  • Code review participation guidelines
  • Best practices for collaboration

• PROBLEM_INDEX.md: Centralized tracking system featuring:

  • Weekly problem list with dates and status
  • Problem categorization by type (Array, Stack, Queue, Hash, Heap, Tree, Graph, DFS/BFS, DP, Greedy, etc.)
  • Statistics dashboard (total problems, difficulty distribution, platform distribution)

🗂️ Directory Structure

SCLabAlgorithmStudy/
├── README.md                    # Main documentation
├── PROBLEM_INDEX.md            # Problem tracking
├── CONTRIBUTING.md             # Contribution guide
├── problems/
│   ├── 2025-W01/              # Week 1 (with 4 example problems)
│   │   ├── README.md          # Problem details
│   │   └── example_two_sum.py # Working solution example
│   └── 2025-W02/              # Week 2 (template)
│       └── README.md
└── templates/
    ├── problem_template.md     # For individual problems
    └── week_template.md        # For weekly problem sets

📝 Example Content (Week 01)

Includes 4 real problems to demonstrate the system:

1. Two Sum (LeetCode Add comprehensive algorithm study management system for SCLabAlgorithmStudy #1) - 🟢 Easy - Hash Table
2. Stack Sequence (Baekjoon #1874) - 🟡 Medium - Stack
3. Unfinished Player (Programmers #42576) - 🟢 Easy - Hash Table
4. Balanced World (Baekjoon #4949) - 🟡 Medium - Stack (Optional)

Each problem includes:

• Platform and problem number
• Difficulty level with emoji indicators (🟢🟡🔴)
• Problem type classification
• Brief description and key points
• Reference materials

🔧 Templates for Consistency

• week_template.md: Template for adding new weekly problem sets with sections for problem details, submission tracking, study notes, and references
• problem_template.md: Template for detailed problem documentation including approach, complexity analysis, and multiple language solutions

✅ Working Example

Includes a fully-functional Python solution for the Two Sum problem (example_two_sum.py) with:

• Detailed comments explaining the approach
• Time complexity: O(n)
• Space complexity: O(n)
• Test cases demonstrating correctness

Key Features

• Multi-platform support: Baekjoon, LeetCode, Programmers
• Comprehensive classification: By data structure type, algorithm type, and difficulty
• Progress tracking: Submission status tables and statistics
• Workflow guidelines: Clear processes for adding problems, submitting solutions, and conducting code reviews
• Scalability: Easy to add new weeks and problems following established patterns

Testing

• ✅ All files created successfully
• ✅ Example Python solution runs without errors
• ✅ Documentation is comprehensive and consistent
• ✅ Directory structure follows best practices
• ✅ Content consistency verified across all files

Impact

The repository is now ready for immediate use by study group members. Users can:

• Review Week 01 problems and start solving
• Follow contribution guidelines to submit solutions
• Use templates to maintain consistency when adding new content
• Track progress using the centralized index
• Collaborate effectively through structured code reviews

---

The system provides a professional, scalable foundation for managing the algorithm study group's activities throughout the year. 🎯

Original prompt

대기업 취업을 목표로 코딩테스트 대비를 위한 알고리즘 스터디를 관리하는 레포지토리입니다. 백준, 리트 코드, 프로그래머스 등 알고리즘 사이트에서 문제를 일주일에 3~4문제 출제하고, 이를 일자, 문제 유형 등으로 정리하여 관리합니다.

---

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.