- Prepare (due M 1/17)
- Content below
- Sakai quizzes
- Peer Instructions
- Homework (Su 1/23)
- Worked Example
Content (Slides in the Box folder)
2.A – Numpy (1 hour)
- Why Numpy (8 min.)
- Numpy Array Basics (15 min.)
- Numpy Universal Functions (20 min.)
- Numpy Axis (14 min.)
2.B – Pandas (45 min.)
- Why Pandas (7 min.)
- Pandas Series (19 min.)
- 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)