Leetcode Notebook Tutorials

A lightweight collection of Jupyter notebooks that walk through common data structures and algorithms (DSA) and how they map to LeetCode-style problems. Each notebook pairs concepts with worked examples and practice prompts so you can build intuition and pattern recognition.

Repo Layout

.
├── heap/
│   └── heap_intro.ipynb
├── searching/
│   ├── backtracking/
│   │   └── backtracking_intro.ipynb
│   └── dfs/
│       └── dfs_intro.ipynb
└── stack_queue/
    ├── queue_intro.ipynb
    └── stack_intro.ipynb

Getting Started

1. Clone the repo

   git clone <your-fork-or-repo-url>
   cd Leetcode_starter

2. Create and activate a virtual environment (recommended)

   python -m venv .venv
   source .venv/bin/activate  # macOS/Linux
   # .venv\Scripts\activate   # Windows (PowerShell)

3. Install Jupyter

   pip install jupyter

4. Launch Jupyter

   jupyter notebook

Notebooks

• Heap

  • heap/heap_intro.ipynb

• Searching

  • Backtracking: searching/backtracking/backtracking_intro.ipynb
  • Depth-First Search (DFS): searching/dfs/dfs_intro.ipynb

• Stack & Queue

  • Stack: stack_queue/stack_intro.ipynb
  • Queue: stack_queue/queue_intro.ipynb

Suggested Learning Path

If you are new to DSA, consider this progression:

1. Stack → Queue
2. DFS
3. Backtracking
4. Heap

Contributing

If you want to add a new tutorial notebook:

1. Create a new folder under the relevant topic (or create a new topic folder).
2. Name the notebook with a clear *_intro.ipynb or *_tutorial.ipynb suffix.
3. Add the notebook to the Repo Layout and Notebooks sections above.

License

Add a license if you plan to share this repository publicly.