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In lieu of a course textbook, assigned readings are mainly the Notes and Examples from lecture. It is a good idea to skim the assigned reading before the lecture for the main ideas, attend lecture, and then to go through the assigned reading again to fill in the details that you missed, both in your initial skim of the reading and in the lecture.

Date	Lecture Topics	Readings	Assigned Work
Week 0
Lectures	Course introduction The importance of natural curiosity Experimentation in a running Python shell Dictionaries as a recurring theme in Python Scopes and namespaces Shadowing and the LEGB rule Module importation How different ways to import behave differently Importation in non-global scopes Importation vs. loading	Course Reference Front page of Project Guide N: Course Introduction N: Modules and Namespaces
F 9/26			Begin working through Project 0 today
Week 1
Lectures	Classes and objects Attributes in objects Attributes in classes Static and class methods Positional and keyword arguments Packing and unpacking Default arguments Tuple-packing parameters Keyword-only and positional-only parameters Dictionary-packing parameters Context managers and the with statement Examples of existing context managers in Python Writing one's own context managers	N: Classes and Objects N: Functions and Their Parameters N: Context Managers
M 9/29			Lab sections begin meeting today
F 10/3			Project 0 due 11:59pm
Week 2
Lectures	Asymptotic analysis O-notation The limitations of O-notation "Closest-fit" O-notation Measuring time and memory Searching The mechanics of Python lists Sequential search Binary search Best-, worst-, and average-case analysis	N: Asymptotic Analysis N: Searching
F 10/10			Exercise Set 1 due 11:59pm
Week 3
Lectures	Databases and persistence Relational databases Tables, rows, and columns Primary keys Relationships and foreign keys SQL and SQLite Creating tables in SQL Querying data using SQL's SELECT Modifying data using SQL's INSERT and UPDATE Removing data using SQL's DELETE The meaning of NULL in SQL Constraints and data integrity Relationships and joins	N: Databases
W 10/15			Project 1 due 11:59pm
F 10/17			Exercise Set 2 due 11:59pm
Week 4
Lectures	List comprehensions Set comprehensions Interlude: What does it mean to be hashable? Dictionary comprehensions The mechanics of iteration The iterable protocol Implementing one's own iterator class Generators Using generators to decouple parts of a design	N: Comprehensions N: Iteration N: Generators
F 10/24			Exercise Set 3 due 11:59pm
Week 5
Lectures	Generator comprehensions Lazy evaluation Infinite generators Combining generators Generators in the Python standard library The Python data model Sized objects Booleanness of objects Indexing and slicing	N: Generators N: Using and Combining Generators N: The Python Data Model
Week 6
Lectures	Hashing Overloading comparison operators Overloading arithmetic operators Revisiting the resolution of attribute access Single inheritance How derived classes reuse and enrich base class functionality Multiple inheritance Method resolution order (MRO)	N: The Python Data Model N: Inheritance
M 11/3			Project 2 due 11:59pm
W 11/5			Exercise Set 4 due 11:59pm
Week 7
Lectures
Tu 11/11	University Holiday: Veterans Day — NO LECTURE TODAY
F 11/14			Project 3 due 11:59pm
Week 8
Lectures
Week 9
Lectures
Th 11/27	University Holiday: Thanksgiving — NO LECTURE TODAY
F 11/28	University Holiday: Thanksgiving — NO LABS TODAY
Week 10
Lectures
Finals Week
Th 12/11	FINAL EXAM: 4:00pm-6:00pm, BS3 1200