1. Prepare (due Mon 9/4)
   1. Content below
   2. Canvas quiz
2. Peer Instructions – See on the class forum
3. Homework (due Sun 9/10) [Link]
4. Worked Example [Link]

Content (Slides in the Box folder)

2.A – Numpy (1 hour)

1. Why Numpy (8 min.)
2. Numpy Array Basics (15 min.)
3. Numpy Universal Functions (20 min.)
4. Numpy Axis (14 min.)

2.B – Pandas (45 min.)

1. Why Pandas (7 min.)
2. Pandas Series (19 min.)
3. Pandas Dataframe (21 min.)

Optional Supplements

• Numpy Beginner’s Tutorial
• Chapter 2: Introduction to Numpy from Python Data Science Handbook
• Numpy Documentation
• 10 Minute to Pandas Tutorial
• Pandas User Guide
• Chapter 3: Data Manipulation with Pandas from Python Data Science Handbook (just the first three subsections)