Week 9 Module

Week 9 of 43
Foundation
WEEK 9 LEARNING MODULE

Python Built-in Functions & Object-Oriented Classes

Explores Python built-in utilities (zip, enumerate, map, filter, sorted), object-oriented programming with classes, dunder methods, and common pitfalls.

3 Practice Problems4 Core ConceptsVerified Curriculum: high Confidence

What You'll Learn

  • Effectively use built-in functions: zip(), enumerate(), map(), filter(), sorted(), min(), and max().
  • Define custom classes with __init__, self, instance attributes, and magic methods (__str__, __len__, __eq__).
  • Avoid critical Python pitfalls: mutable default arguments and modifying collections during iteration.
  • Implement Moore's Voting Algorithm for linear-time majority element detection with $O(1)$ space.

Core Concepts

Python Built-in Functional Utilities

Leveraging zip(), enumerate(), map(), filter(), and sorted() for clean functional data transformations.

Object-Oriented Programming (OOP)

Creating reusable classes, encapsulating state, and defining instance methods.

Magic (Dunder) Methods

Overloading built-in operations using __str__, __repr__, __len__, and __eq__.

Mutable Default Arguments Pitfall

Understanding why default arguments like def fn(x=[]) persist across function calls and how to use None defaults.

Algorithms Covered
Boyer-Moore Voting AlgorithmCustom Comparator SortingString AlternationHierarchical Domain Counting
Data Structures Applied
ClassesDictionariesListsTuples

The difference between ordinary and extraordinary is that little extra. Add a touch of class to everything you do.

Jimmy Johnson

Lecture Materials (1)

Official lecture slide decks hosted on Google Drive
Official Slide Deck1.9 MB

A2SV_Remote_G5_Python_Track_Built_in_functions_and_classes.pdf

Topic: A2SV Remote G5 Python Track Built in functions and classes

Format: PDF

Curated Practice Problems (3)

Track problem completions synced across your curriculum