Dive into a comprehensive tutorial on numerical computing with NumPy, presented at SciPy 2019 by Alex Chabot-Leclerc. Learn the fundamentals of array syntax and indexing, explore mathematical functions available in NumPy, and discover how to create custom routines. Gain practical experience with matplotlib for visualizing results from examples. Cover topics such as elementwise operations, two-dimensional arrays, slicing techniques, array creation, color selection in image processing, and problem-solving strategies. Understand common pitfalls like off-by-one errors and explore advanced concepts like column selection and image blurring. Access additional tutorial materials through the provided link to enhance your learning experience.