I’m building an engaging learning pack that teaches three tracks—Python programming, SQL databases, and the complete PCM (Physics, Chemistry, Mathematics) syllabus for class 12—through real-world sports examples drawn from both basketball and volleyball. Here’s the idea: every coding snippet, database exercise, physics derivation, or calculus problem references live-style data such as player stats, match schedules, shot trajectories, or ball spin. By anchoring abstract concepts in these two sports, learners stay motivated while picking up practical analytics skills. What I need from you • A coherent course outline mapping Python, SQL, and each PCM chapter to specific basketball/volleyball scenarios. • Illustrated lesson notes or slide decks that explain theory, walk through examples, and include practice questions. • Jupyter notebooks (Python 3) with commented code that manipulates sample datasets for both sports. • SQL scripts plus a lightweight schema (SQLite or MySQL) that students can query, modify, and extend. • Problem sets with solutions—numerical, conceptual, and coding—aligned with the class 12 board pattern. Acceptance will be based on: – Technical accuracy and clarity of explanations. – Seamless integration of basketball and volleyball context across all materials. – Code and queries that run error-free on a standard setup. If you’re comfortable blending sports analytics with STEM pedagogy, let’s collaborate and bring this unique course to life!