This repository aggregates reference cheatsheets and code examples for AI and data science libraries and tools, organized by topic areas such as Python, scientific computing (NumPy/SciPy), data analysis (Pandas/SQL), and data visualization (Matplotlib/Seaborn). It also includes dedicated sections for deep learning frameworks and machine learning libraries like TensorFlow, Keras, PyTorch, and scikit-learn, serving as a quick-lookup learning resource for practitioners.