A curated library of 220 industry-derived problem statements across Core Java and Python — each with concrete use cases, real-world bottlenecks and a recommended approach. Framed exactly how industry frames a working problem, so teams can search, understand and start building in minutes.
Each track maps session-by-session to its curriculum — fundamentals first, integrated capstones last. Open a track to search by sector, module, concept or difficulty.
From data types and control flow to OOP, the Collections Framework, I/O and an integrated capstone — 110 problems solvable with Core Java alone, drawn from banking, retail, healthcare, logistics and more.
From variables and data structures to functions, file & exception handling, OOP and the NumPy / Pandas / Matplotlib stack — 110 problems spanning manufacturing, edtech, public services, logistics and analytics.
The same library serves the hackathon table and the engineering bay — a shared vocabulary of real, scoped, buildable problems.
Skip the blank page. Each card names a clear problem, the use cases to satisfy, the traps to avoid and a starting approach — pick one and build a demo that maps to a real domain.
Use them as lab exercises, take-home assignments, pair-programming drills or assessment scenarios — every problem is mapped to the exact concepts being taught.
Filter by industry sector, curriculum module or difficulty, full-text search any keyword, then copy a clean build-brief to clipboard. Deep-link any problem by its PS number.
