1. Prepare (due M 1/17)
   1. Content below
   2. Sakai quizzes
2. Peer Instructions
   1. DataFrame Indexing: Round 1, Round 2
   2. Series Adding: Round 1, Round 2
   3. hstack/vstack: Round 1, Round 2
   4. Slicing: Round 1, Round 2
3. Homework (Su 1/23)
4. Worked Example

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)