Table of Contents

1. Day 1 - Numbers

Est 0 minutes

Topics

• Skills: None
• Pre-reading: 3.1.1 to 3.1.4
• Intro (10 mins)
• Class Exercise (40 mins)
• Wrap-up (10 mins)

2. Day 2 - Strings & Images

Est 0 minutes

Topics

• Skills: None
• Pre-reading: 3.1.5 to 3.1.7
• Intro (20 mins)
• Wrap-up (10 mins)

3. Day 3 - Definitions

Est 0 minutes

Topics

• Skills: None
• Pre-reading: 3.2
• Intro (10 mins)
• Class Exercise (40 mins)
• Wrap-up (5 mins)

4. Day 4 - Functions

Est 0 minutes

Topics

• Skills: 1
• Pre-reading: 3.3
• Intro (10 mins)
• Class Exercise (40 mins)
• Wrap-up (10 mins)

5. Day 5 - Conditionals, Tests, and spy

Est 0 minutes

Topics

• Skills: 1
• Pre-reading: 3.4
• Intro (15 mins)
• Class Exercise (40 mins)
• Wrap-up (10 mins)

6. Day 6 - Introduction to tables

Est 0 minutes

Topics

• Skills: 2
• Pre-reading: 4.1.1 & 4.1.2
• Intro (15 min)
• Class Exercise (40 mins)
• Wrap-up (5 mins)

7. Day 7 - Functions over rows

Est 0 minutes

Topics

• Skills: 1, 2
• Pre-reading: 4.1.3, 4.1.4.1, 4.1.4.2
• Intro (15 min)
• Class Exercise (40 mins)
• Wrap-up (5 mins)

8. Day 8 - Adding columns

Est 0 minutes

Topics

• Skills: 1, 2
• Outcomes: 5
• Pre-reading: 4.1.4.3, 4.1.4.4
• Intro (15 mins)
• Class Exercise (40 mins)
• Wrap-up (5 mins)

9. Day 9 - Tests for tables

Est 0 minutes

Topics

• Skills: 1, 2
• Pre-reading: 4.1.5, DRAFT:29.1
• Intro (15 mins)
• Class Exercise (40 mins)
• Wrap-up (5 mins)

10. Day 10 - Cleaning data

Est 0 minutes

Topics

• Skills: 2
• Pre-reading: DRAFT:29.2.1, DRAFT:29.2.2, 4.2.1.3, 4.2.1.4, 4.2.1.5

11. Day 11 - Task planning & visualization

Est 0 minutes

Topics

• Skills: None
• Pre-reading: 4.2.2, 4.2.3, 4.2.4, 4.2.5, 4.2.6
• Intro (25 min)
• Class Activity (30 min)
• Wrap up (5 mins)

12. Day 12 - Extracting columns

Est 50 minutes

Topics

• Skills: None
• Pre-reading: 5.1.1 (PROBLEM: Google Sheets), 5.1.2, 5.1.3, 5.1.4.1
• Intro (15 min)
• Basic Statistical Questions, Extracting Columns, and Understanding Lists

13. Day 13 - Operating on Lists

Est 50 minutes

Topics

• Skills: None
• Pre-reading: 5.1.4 (aside from 5.1.4.1)
• Operating on Lists and Transforming Data

14. Day 14 - Operating over tables & lists

Est 50 minutes

Topics

• Skills: None
• Pre-reading: 5.1.6
• Lambda Functions and Combining Lists and Tables

15. Day 15 - Variables and loops

Est 50 minutes

Topics

• Outcomes:
• 1. Introduction (5 minutes)
• 2. Variables and Mutation in Pyret (15 minutes)
• 3. For Each Loops in Pyret (25 minutes)
• 4. Wrap-Up (5 minutes)
• Optional Challenge

16. Day 16 - Working with Lists

Est 55 minutes

Topics

• Outcomes:
• 1. Review: Variables, Mutation, and <code>for each</code> Loops (10 minutes)
• 2. Structural Problems with Scalar Answers (20 minutes)
• 3. Structural Problems that Transform or Select from Lists (20 minutes)
• 4. Wrap-Up and Discussion (5 minutes)
• 5. Optional Challenge (if time permits)

17. Day 17 - Beware of global variables

Est 60 minutes

Topics

• Outcomes:
• 1. Introduction (10 minutes)
• 2. Demonstration: Global Variables and Testing Difficulties (25 minutes)
• 3. Discussion and Best Practices (15 minutes)
• 4. Wrap-Up (10 minutes)

18. Day 18 - Structured data

Est 60 minutes

Topics

• Introduction to Structured Data

19. Day 19 - Conditional data

Est 60 minutes

Topics

• Introduction to Conditional Data

20. Day 20 - Recursive functions by examples

Est 60 minutes

Topics

• Discovering Recursive Definitions by Example

21. Day 21 - Templates for lists

Est 60 minutes

Topics

• The Recursive Template for Lists

22. Day 22 - Intro to Trees

Est 25 minutes

Topics

23. Day 23 - Trees as recursive data

Est 60 minutes

Topics

24. Day 24 - More trees

Est 60 minutes

Topics

• Advanced Tree Processing: Traversals and Transformations

25. Day 25 - Transition to Python 1

Est 20 minutes

Topics

• Functions, Types, and Conditionals in Python vs. Pyret

26. Day 26 - Transition to Python 2

Est 20 minutes

Topics

• Creating and Processing Lists in Python

27. Day 27 - Transition to Python 3

Est 20 minutes

Topics

• Traversing and Transforming Lists in Python vs. Pyret

28. Day 28 - Scoping in Python vs Pyret

Est 60 minutes

Topics

• 1. Introduction & The Program Directory (10 minutes)
• 2. Variable Scoping in Python (20 minutes)
• 3. Variable Scoping in Pyret (20 minutes)
• 4. Wrap-Up (10 minutes)

29. Day 29 - Mutable data & equality

Est 70 minutes

Topics

• 1. Introduction & Motivation (5 minutes)
• 2. The Library Book Example (15 minutes)
• 3. The Heap and Aliasing (20 minutes)
• 4. Equality of Data: Concepts and the Program Directory/Heap (15 minutes)
• 5. Equality Operations in Python (10 minutes)
• 4. Wrap-Up and Reflection (5 minutes)

30. Day 30 - Tables in Python

Est 50 minutes

Topics

• Introduction to Tables in Python with Pandas

31. Day 31 - Computing columns with Pandas

Est 55 minutes

Topics

• Computing New Columns and Basic Statistics in Pandas

32. Day 32 - Visualizing Data with Python

Est 50 minutes

Topics

• Visualizing Data with Pandas and Matplotlib

33. Day 33 - File I/O

Est 60 minutes

Topics

• 1. Introduction and Motivation (10 minutes)
• 2. Reading and Parsing CSV Files Manually (20 minutes)
• 3. Writing Data Back to a CSV File (20 minutes)
• 4. Wrap-Up (10 minutes)

34. Day 34 - Dictionaries

Est 60 minutes

Topics

• 1. Introduction and Motivation (10 minutes)
• 2. Creating and Using a Dictionary (15 minutes)
• 3. Searching Through the Values in a Dictionary (15 minutes)
• 4. Dictionaries with More Complex Values and Comparing with Dataclasses (10 minutes)
• 5. Wrap-Up (10 minutes)