M5: NumPy¶
This module provides an introduction to NumPy, a Python library for working with large contiguous, and multidimensional arrays of data.
Textbook Chapters¶
The chapter corresponding to this module is NumPy
A PDF version of the textbook is also available here.
You will be asked to log in with your CNetID before you can see the textbook.
Please note that the lectures do not assume you have read the book chapters ahead of time. Unless you prefer to get a feel for the material ahead of a lecture, we suggest you instead plan to read the book chapters after the lectures, as a way to ensure you understood the material covered in the lectures, as well as to dig deeper into topics that we only cover at a high level in the lectures.
Team Tutorial¶
Remember that the Team Tutorial is not graded, but we nonetheless encourage you to complete it before Programming Assignment #5 is released.
Short Exercises¶
Short Exercises #5, due Wednesday, Nov 10 at 4:30pm CST.
Programming Assignment¶
Programming Assignment #5, due Friday, Nov 19 at 4:30pm CST.