Version 3.2 — Sanctum Expansion, AI Grading Upgrade & Database Curriculum

📚 Sanctum Expansion — Pandas & Matplotlib

The Sanctum continues to grow with two major new data-science learning pathways. Both feature interactive IDE engines, live simulations, and AI-assisted code diagnostics.

• 🐼 Pandas Pathway — 15 Lessons DataFrames, filtering, statistics, grouping, cleaning
• 📊 Matplotlib Pathway — 15 Lessons Line, bar, scatter, pie, offsets, combo charts, colouring

🧮 SQL Databases — 10 Lesson Pathway

A full SQL curriculum has been added to the Sanctum, introducing students to real-world database systems, schema planning, CRUD operations and relational modelling.

• 📌 Lesson 1–3: Table structures, primary keys, schema fundamentals
• ✏️ Lesson 4–6: INSERT, UPDATE, DELETE, SELECT
• 🔗 Lesson 7–8: JOINs and relationships
• 🛡️ Lesson 9–10: Constraints, validation, sanitisation

🤖 J.A.R.V.I.S. — Deep Debugging Integration

J.A.R.V.I.S. has been fully embedded into both Python data-science pathways and SQL. The new multi-stage debugging engine analyses user code, detects common structural failures, and guides students toward correct solutions.

• 📊 Matplotlib Smart Detection — identifies broken charts, invalid DataFrames, missing labels and corrupted dicts.
• 🐼 Pandas Analysis — validates filters, boolean logic, statistics, grouping and DataFrame operations.
• 🧮 SQL Debug Engine — analyses failed queries, detects missing tables, handles repeated CREATE TABLE attempts, and produces clear feedback.

🚀 Additional Improvements & Fixes

• ⚡ Faster IDE load times for Pandas & Matplotlib widgets
• 🔧 Major cleanup of chart simulation to prevent placeholder rendering
• 🤝 Improved compatibility with all BattlePass EXP systems
• 🎨 Updated UI highlights for Sanctum learning grids