Dive into a comprehensive 90-minute tutorial on NumPy in Python, led by Mr. Srinivas. Explore essential concepts including array properties, array lists, and matrix operations. Learn to create one-dimensional and multi-dimensional arrays, use slicing techniques for submatrices, and understand the numpy.ndarray object. Master reading elements into matrices, reshaping arrays, and working with multi-dimensional data structures. Gain practical skills in manipulating numerical data efficiently using NumPy's powerful tools and functions.