Links and Resources

Course Book / Notes (updated regularly):

• https://afraenkel.github.io/practical-data-science

Discussion Forum (post public questions and privately message instructors):

• Piazza

Autograder (queue to get help in lab):

• Login
• Instructions

Gradescope (submit assignments, exams and grades):

• https://gradescope.com

Github repository:

• https://github.com/ucsd-ets/dsc80-fa19

Podcast (listen to lectures):

• https://podcast.ucsd.edu

How to use github and GitHub Desktop:

• Link to tutorial
• Intro to Git (Discussion Section Slides)

Computing Environments:

• UCSD DataHub (UCSD servers)
• Anaconda (python3) (For local development)

Exam Materials:

• Midterm Pandas Reference