How can I improve performance in my C++ and Python code?
To improve performance, you can optimize algorithms, use efficient data structures, and profile your code to identify bottlenecks.
What tools can I use to profile my C++ and Python applications?
For C++, you can use tools like gprof or Valgrind. For Python, consider using cProfile or Py-Spy.
Are there specific libraries that can help with performance in Python?
Yes, libraries like NumPy for numerical computations and Cython for compiling Python to C can significantly boost performance.
How do I decide whether to use C++ or Python for a project?
It depends on the project requirements. Use C++ for performance-critical applications and Python for rapid development and ease of use.
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