1. Prepare (due Mon 1/13)
   • Content below if you need a refresher on Python
   • Canvas quizzes
   • Install Anaconda (see the Resources page for more instructions)
2. Class engagement – See on the class forum
3. Homework (due Sun 1/19, 11:59 PM) [Link]

Content (Slides in the Box folder)

1.A – Python3 (14 min.)

1. Python vs. Java (3 min.)
2. Data Types (2 min.)
3. Iteration, Functions, Classes (7 min.) – slide 19 has a typo, the pdf has been fixed
4. sorted() function documentation (2 min.)

1.B – Python for Data Science (21 min.)

1. Anaconda and Jupyter (10 min.)
2. Jupyter Notebook Demo (11 min.)

Optional Supplements

• Official Python tutorial
• Python documentation
• Jupyter Notebook Documentation

This module is 100% optional. It is intended as supplementary material if you plan to use git with your Jupyter Notebooks.

Content

A. Git Mental Model

B. Git with notebooks, how?

Recommended Reading

• Coding habits for data scientists