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Just as JavaScript offers built-in methods for array manipulation - like .sort(), .reverse(), and .reduce() for finding the maximum and minimum elements - STL in C++ provides a range of algorithms which can manipulate data stored in STL containers, such as vectors, deque, lists, sets, etc. This is a huge convenience, as with such algorithms, we can perform common data manipulations without reinventing the wheel, which is equally handy on a AI data pipeline or a finance app backend.

Consider the code example here. We have a vector<int> data with some integer values. We then explore some of the STL algorithms.

  • sort(data.begin(), data.end()): Just as you might do array.sort() in JavaScript, STL provides the sort function. It requires two iterators - beg and end - the range to sort.

  • *max_element(data.begin(), data.end()) and *min_element(data.begin(), data.end()) work similarly to .reduce() in JavaScript when used for finding the maximum and minimum elements. They return iterators pointing to the maximum and minimum elements respectively. We use * to get the values.

  • reverse(data.begin(), data.end()); - This is used to reverse the order of elements in the range [beg,end], much like JavaScript's .reverse(). In the end, we print out the reversed vector.

While these are just a few examples, the STL contains many more algorithms with wide applications. They are optimized for performance, tested for correctness, and ready for use, so you can focus on crafting the logic for your next big AI project or backend app functionality.

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