Project: Library Inventory and Analytics

By the end you can

• Design an owning inventory model with deque ingestion, vector storage, and associative indexes
• Validate and deduplicate records before building map, unordered_map and set indexes
• Compose ranges and algorithm families for filtering, partitioning, sorting, binary search and numeric reports
• Explain complexity, invalidation, failure handling and tests for a production-shaped data pipeline

Builds on vector: The Default Container and How It Grows, Associative Containers: map, set and unordered_map, Sequence Containers and Adaptors: Choosing the Right Shape, Classic Algorithms: Predicates, Iterators and Output Ranges, Algorithm Families Beyond Sort and Find, STL Value Types: pair, tuple, array, string_view, bitset and numeric_limits, Modern Standard-Library Tools: optional, variant, span and ranges, Filesystem, Time and Formatting.