Speed test race between Python and C++. Print the total time taken in seconds to finish counting to ten million. My computer took 25 seconds for C++ and 41.51 seconds for Python3 without pycuda.

A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs.

Using C++ to speed up Python is great because we can let the compiler do the work of optimizing instead of polluting our code, keeping our algorithm simple and clean. You can find the entire code for ...

Python is a good choice for scientific computing, data analysis and machine learning, while C++ is a better choice for applications that require a lot of computational power. C is good for systems ...

You can speed up your existing Python code with the Numba JIT, ... Typically, such libraries — like NumPy, for scientific computing — wrap high-speed math modules written in C, C++, ...

Future improvements in speed will come less from better hardware and more from faster, more efficient programming.” Emery Berger, who is a professor of computer science in the Manning College of ...