Transforming Collections
When you need to process or modify every element in a collection, transformation patterns offer a concise and efficient way to express your intent. Instead of writing explicit loops, you can use standard algorithms like std::transform combined with lambda expressions to apply operations to each element. This approach makes your code more readable, reduces boilerplate, and helps prevent errors. By separating the "what" (the transformation logic) from the "how" (iteration), you gain flexibility and clarity, especially when working with large or complex collections. Transformations are fundamental in functional programming and are widely used for tasks such as mapping, normalization, or preparing data for further processing.
main.cpp
12345678910111213141516171819202122#include <iostream> #include <vector> #include <algorithm> int main() { std::vector<int> numbers{1, 2, 3, 4, 5}; std::vector<int> squared(numbers.size()); std::transform( numbers.begin(), numbers.end(), squared.begin(), [](int x) { return x * x; } ); std::cout << "Squared numbers: "; for (const auto& n : squared) { std::cout << n << " "; } std::cout << std::endl; return 0; }
Thanks for your feedback!
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
Can you give an example of using std::transform with a lambda?
What are some common use cases for transformation patterns?
How do transformation patterns compare to traditional loops in terms of performance?
Awesome!
Completion rate improved to 4.55Transforming Collections
Swipe to show menu
When you need to process or modify every element in a collection, transformation patterns offer a concise and efficient way to express your intent. Instead of writing explicit loops, you can use standard algorithms like std::transform combined with lambda expressions to apply operations to each element. This approach makes your code more readable, reduces boilerplate, and helps prevent errors. By separating the "what" (the transformation logic) from the "how" (iteration), you gain flexibility and clarity, especially when working with large or complex collections. Transformations are fundamental in functional programming and are widely used for tasks such as mapping, normalization, or preparing data for further processing.
main.cpp
12345678910111213141516171819202122#include <iostream> #include <vector> #include <algorithm> int main() { std::vector<int> numbers{1, 2, 3, 4, 5}; std::vector<int> squared(numbers.size()); std::transform( numbers.begin(), numbers.end(), squared.begin(), [](int x) { return x * x; } ); std::cout << "Squared numbers: "; for (const auto& n : squared) { std::cout << n << " "; } std::cout << std::endl; return 0; }
Thanks for your feedback!
