README.md

Welcome to Session 3

Learning goals

By the end of Session 3, you should be able to:

• explain the difference between iterables, iterators, and generators
• use iter(), next(), file iteration, and yield
• choose when to stream data and when to load all data into memory
• estimate time and space complexity for common text-processing tasks
• use Gemini on a text dataset for structured character and event extraction
• build a tiny RAG pipeline with chunking, retrieval, and Gemini
• recognize algorithmic patterns that do not scale well

Recommended order

1. Part 1
2. Part 2
3. Part 3
4. Homework
5. Write your own work in solutions.
6. Review reference solutions only after attempting tasks yourself.
7. Practice with quizzes when ready.

Notes

• Keep your own solutions in separate files inside solutions/.
• Use exercise-style names in solutions/ (for example exercise-03-01.py, exercise-03-02.py, exercise-03-03.py).
• Reference answers are in session_solutions/.
• Do not commit .venv/ to GitHub.
• Use requirements.txt for Parts 1 and 2. Use requirements-homework.txt in a separate environment for Part 3 and the Gemini homework tasks.
• Pull the latest repository changes before starting each session.