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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