Introduction to Numerical Computing with NumPy - SciPy 2019 Tutorial

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.

Introduction
Motivation
Elementwise Operations
Twodimensional arrays
Slicing
Creating an Array
Red Selection
Yellow Selection
Blue Selection
Slices as coordinates
Square brackets and parentheses
Breaking apart the problem
Top pixels
Offbyone errors
Column selection
Blurred image