Dive into a comprehensive 93-minute tutorial on NumPy tailored for physicists, engineers, and mathematicians. Learn essential array operations, indexing and slicing techniques, and apply calculus and statistics concepts using NumPy. Explore multi-dimensional arrays and their functions, delve into linear algebra topics including matrix operations, systems of equations, and eigenvalue problems. Gain practical experience through numerous examples and discover how to work with basic datasets. Access accompanying code on GitHub and enhance your Python skills for STEM applications.