Python problem solver
Start with syntax and collections, then build graph algorithms and resilient data imports.
Your goal
Build an import pipeline that handles malformed records and explain atomic versus partial application.
Use each checkpoint as evidence: solve an exercise without the solution open, explain its edge cases, and revisit a failed concept the next day. Course completion records practice; it is not an accredited qualification.
Python from zero
Learn with readable examples, small experiments, and a practical expense project.
11 lessons · 99 minutes of guided material, plus project and revision time.
Open syllabus →Python: reliable collections and imports
Preserve order, navigate graphs, and validate complete imports before applying them.
3 lessons · 85 minutes of guided material, plus project and revision time.
Open syllabus →Python data pipelines and algorithms
Merge reservations, rank frequent events and build a resilient JSON ingestion pipeline.
3 lessons · 85 minutes of guided material, plus project and revision time.
Open syllabus →Final review
- Demonstrate a working example and a deliberately failing case.
- Explain one design trade-off and the expected time and memory costs.
- State which checks ran automatically and which required manual review.
- Keep a short project README with setup steps, limitations and your next improvement.
Open your personal study plan to review weak concepts and schedule the next session.