Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping

Clear, complete NumPy tutorial—great theory, hands-on demos, and data handling in under 1 hour.
Having recently consulted Keith Galli's Beginner Python NumPy Tutorial, I find it to be an exceptionally concise yet thorough introduction to the fundamental principles of NumPy. In less than an hour, the tutorial efficiently elucidated the basic principles underlying NumPy's functionality. The pedagogical structure, which distinguishes between theory presented in slides and practical demonstrations on screen, was particularly effective in consolidating both conceptual understanding and practical application. The topics covered ranged from creating arrays and the differences between NumPy arrays and Python lists, to more advanced concepts such as indexing, mathematical operations, statistical analysis, reshaping, and loading data from files, making it an invaluable resource for handling large datasets.