Comparison of C++ and Python performance based on selected algorithms

This article presents a comparative performance analysis of selected algorithms implemented in C++ and Python. The experiments were conducted in a controlled virtual environment (Ubuntu Linux running on Oracle VirtualBox with a single CPU core and 6 GB of RAM). The study covered selected sorting algorithms (Merge Sort, Quick Sort, Heap Sort), searching algorithms (Linear Search and Binary Search), and statistical measures. Tests were performed on datasets ranging from 10 to 1,000,000 elements. Performance evaluation included execution time, CPU utilization, and memory consumption. The results demonstrate a significant performance advantage of C++ in execution time and memory efficiency, particularly for large datasets, while both languages exhibit consistent scalability trends corresponding to their theoretical computational complexity.