This course aims to teach learners the fundamentals of numerical computing using NumPy. By the end of the course, students will be able to understand basic array syntax, perform array indexing, utilize mathematical functions in NumPy, create custom routines, and visualize results using matplotlib. The teaching method involves a hands-on approach with practical examples and exercises. This course is intended for individuals interested in data science, scientific computing, or programming with Python.
Overview
Syllabus
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
Taught by
Enthought
