
These handwritten notes provide a concise and beginner-friendly explanation of NumPy, focusing on core concepts and practical usage. The notes cover array creation, indexing and slicing, data types, shape manipulation, mathematical operations, broadcasting, and commonly used NumPy functions. Each topic is explained step-by-step with clear examples, making it easy to understand numerical computing in Python. Ideal for quick revision, exam preparation, and building a strong foundation for data science and machine learning.