🔥 Key Topics:
✔ Templates – Write generic code that works with any data type.
✔ STL Containers – Master vector, map, set (and when to use each).
✔ Algorithms – Sort, search, and transform data with 1-line solutions.
✔ Memory Efficiency – Custom allocators and performance hacks.
💡 Why This Book?
Interview-ready: Nail DS&A questions with STL shortcuts.
Real-world examples: Analyze datasets, simulate caches, and more.
Beyond basics: Iterators, functors, and writing your own STL-style code.
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