Class times and due dates

Reading quiz and lab assignment due dates (no live coding assignment this week):

Tuesday, January 23, 11:59pm

Our class live session for this module will be on Wednesday, January 17, 7:15-8:15pm:

Zoom link: https://virginia.zoom.us/j/91374174025?pwd=azRWK2dyem9hSVlTVDVuOHhkeGFuUT09

Office hours:

Jon's office hours: Thursdays, 7:15-9:15pm or by appointment

https://virginia.zoom.us/j/8014929228

(If I am not there, I'm just waiting for people to arrive. Send me a Teams message and I'll be right with you)
By appointment: email or Teams message me to set up a time to meet one-on-one

Textbook, Video Lectures, and Slides

Please read Chapter 1 of "Surfing the Data Pipeline with Python": https://jkropko.github.io/surfing-the-data-pipeline/ch1.html

The following video lectures follow the discussion in chapter 1 of "Surfing the Data Pipeline with Python", and use these slides:

Slides

Lecture 1.1: Course Overview

Lecture 1.2: Using Internal Help Documentation

Lecture 1.3: Using Stack Overflow and other help resources

External Readings and Reading Quiz

The readings for this module are

Textbook: Vanderplas, chapter 1 https://www.oreilly.com/library/view/python-data-science/9781491912126/

Blog: https://web.archive.org/web/20210621184948/https://www.atommorgan.com/blog/stackoverflows-toxicity-problem

Blog: https://medium.com/@Aprilw/suffering-on-stack-overflow-c46414a34a52

You may have these readings open as you take the following reading quiz:

Reading Quiz 1

Lab Assignment

You can find this module's lab assignment on Gradescope (don't forget the [instructions for submitting your assignments to Gradescope] ) :

Lab assignment on Gradescope

You can download the PDF version of the lab on Gradescope, but here is the .ipynb notebook file that you can use as a template to write your assignment:

labassignment1.ipynb

This assignment uses the following data file in comma-separated values (CSV) format: jobs_in_data.csv