STL Containers and Algorithms in C++After mastering OOP (classes, inheritance, polymorphism), the task arises to efficiently store, process, and manipulate large amounts of data. The Standard Template Library (STL) provides ready-made containers and algorithms that allow writing faster, cleaner, and less error-prone code.Orbit Series is a set of materials that helps systematically explore the main STL containers and algorithms. You will receive step-by-step explanations, usage examples, practical tasks, and recommendations on choosing the right tool for the task. What's inside Orbit Series: Module 1: Introduction to STL — main components (containers, iterators, algorithms, functors), advantages over custom data structures, namespaces (std). Module 2: Sequence containers — vector (dynamic array), deque (double-ended queue), list (doubly-linked list): creation, insertion/removal, access, size, memory reservation. Module 3: Associative containers — set and multiset (sorted unique/duplicated elements), map and multimap (key-value): insertion, lookup, removal, iteration, custom comparators. Module 4: Unordered associative containers — unordered_set, unordered_multiset, unordered_map, unordered_multimap: hash tables, average O(1) complexity, hash function and equality management. Module 5: Iterators and range-based for — iterator types (input, output, forward, bidirectional, random access), iterating containers, auto in range-based for, const_iterator. Module 6: Standard algorithms — sort, stable_sort, find, count, transform, accumulate, copy, remove_if, lower_bound/upper_bound, examples with lambdas and functors. Who this material is for:Suitable if: You already work with classes, inheritance, and polymorphism You want to use ready-made efficient data structures instead of writing them manually You wish to write modern C++ code with fewer errors and better performance Not suitable if: You have not yet practiced OOP concepts You are looking for design patterns, multithreading, or C++20/23 features right away What you will be able to master after completing it:Choose the appropriate STL container based on the task (sequence, ordering, fast lookup)Work efficiently with vector, deque, list, set, map, unordered_map, etc.Use iterators and range-based for for convenient iterationApply standard algorithms for sorting, searching, transforming, and accumulating dataWrite code with lambda expressions and functors for algorithm customizationUnderstand operation complexity (O(1), O(log n), O(n)) for different containers and algorithmsAvoid common STL pitfalls (invalidated iterators, incorrect erase usage, etc.) About the author:Developer experienced in using STL in real projects — from large data processing to algorithm implementation. For many years has explained containers and algorithms to beginners and intermediate developers, focusing on practical tool selection and code optimization. 30-day refund policyIf within 30 days after purchase of paid tariff you feel the materials do not suit you — write us for refund (for Free Pack not applicable).