Programming with Data

Introduction

• Read Syllabus
• Read How to succeed
• Read CIT §1.1–1.3.2 (optional)

Sep. 4

Class 1

Programming with data

• Slides
• Notebook

Sep. 6

Lab 0

Getting started

Abstraction and evaluation

• Read CIT §3.1–3.3 and CIT §4.1–4.3
• Assignment 1

Sep. 9

Class 2

Expressions, values, and names

• Slides
• Notebook

Sep. 11

Class 3

Functions and conditionals

• Slides
• Notebook

Sep. 13

Lab 1

Stormy weather

Tabular data

• Read CIT §6–6.2 (optional)
• Read CIT §5.1 and CIT §8.1
• Assignment 2

Sep. 16

Class 4

Tables

• Slides
• Notebook

Sep. 18

Class 5

Columns and arrays

• Slides
• Notebook

Sep. 20

Lab 2

Candy analysis

Visualizing data

• Read CIT §7
• Assignment 3

Sep. 23

Class 6

Introduction to visualization

• Slides
• Notebook

Sep. 25

Class 7

Visualizing categorical and numerical variables

• Slides
• Notebook

Sep. 27

Lab 3

Squirrels!

End of Part 1

• Read CIT §7.1.3

Sep. 30

Class 8

Visualizing two variables

• Slides
• Notebook

Oct. 2

Class 9

Review

Oct. 4

Exam 1

Table manipulation

• Read CIT §7.1.3
• Read CIT §8.2–8.4
• Assignment 4

Oct. 7

Class 10

Data sanitizing

• No slides
• Notebook

Oct. 9

Class 11

Grouping and pivoting

• Slides
• Notebook

Oct. 11

Lab 4

Cleaning table data

October Break

Oct. 14

🍁

Oct. 16

🍂

Oct. 18

🐿️

Sequences and iteration

• Read CIT §9.2
• Assignment 5

Oct. 21

Class 12

Iteration, Part 1

• Slides
• Notebook

Oct. 23

Class 13

Iteration, Part 2

• No slides
• Notebook

Oct. 25

Lab 5

Vote for Python

Simulation

• Read CIT §9.3–9.4
• Read CIT §9.5 and CIT §10
• Assignment 6

Oct. 28

Class 14

Simulation

• Slides
• Notebook

Oct. 30

Class 15

Probability and distributions

• Slides
• Notebook

Nov. 1

Lab 6

Simulation and random choice

Prediction

• Read CIT § 10.2–10.4
• Read CIT § 15–15.1 (optional)
• There is no Assignment 7

Nov. 4

Class 16

Sampling and inference

• Slides
• Notebook

Nov. 6

Class 17

Prediction

• Slides
• Notebook

Nov. 8

Lab 7

How faithful is Old Faithful?

End of Part 2

Nov. 11

Class 18

Human contexts & ethics

• Slides
• No notebook

Nov. 13

Class 19

Review

Nov. 15

Exam 2

Memory and mutation

• Assignment 8

Nov. 18

Class 20

Data classes and mutation

• Slides
• Notebook

Nov. 20

Class 21

Memory

• No slides
• Notebook

Nov. 22

Lab 8

Data classes and abstraction

Recursive data and functions

Nov. 25

Class 22

Recursion

• Slides
• Notebook

Nov. 27

Class 23

Trees

• Slides
• Notebook

Nov. 29

🥧

Dictionaries

• Assignment 9

Dec. 2

Class 24

Dictionaries

• No slides
• Notebook

Dec. 4

Class 25

JSON and Web APIs

• No slides
• Notebook

Dec. 6

Lab 9

The art of gathering data

End of Part 3

• ECS

Dec. 9

Class 26

Computational thinking

• Slides
• No notebook

Dec. 11

Class 27

Review

This is treated as a Friday; we meet at 1 p.m. in SC 006.

Dec. 13

📚

Final exams

Tuesday, Dec. 17

Exam 3

9–11:00 a.m.
New England 105