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      • While this was a debating question some years ago, today, there is no doubt Python 3 is a better choice. First, Python 2 is no longer supported since 2020. So it makes sense for new projects to be written in Python 3.x. Second, since Python 2 is no longer supported, all the developments lie on the Python 3 side.
      www.datacamp.com/blog/python-2-vs-3-everything-you-need-to-know
  1. Dec 19, 2022 · Python 3.11 can be twice as fast compared to older versions of Python. Still, there is a large gap to the performance of C++, which is about 17 times faster . These results are valid only...

  2. Most scientists I know would start with Numpy and SciPy rather than pure python, maybe moving to Numba if that isn't enough. Using Cython doesn't really many advantages over those packages. The C++ is also pretty suspect.

  3. Apr 22, 2011 · Most likely, you are more familar with writing C code than writing Cython code. Writing your code in C gives you maximum control. To get the same performance from Cython code as from equivalent C code, you'll have to be very careful.

  4. Jun 11, 2023 · However, it is important to note that not all benchmarks exhibit substantial speed gains with Cython. The choice between Python and Cython depends on the specific requirements of the application, the complexity of the code, and the need for performance optimization.

  5. Aug 19, 2021 · Brief reviews on popular Python compilers like Cython, PyPy, and the default Python interpreter CPython.

  6. Aug 28, 2024 · Cython improves performance by compiling Python code into C, eliminating much of the overhead associated with Python's interpreted execution. In Cython, we can also add static type declarations, which allows the compiler to generate more efficient C code.

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  8. Aug 7, 2021 · Cython has been bridging this gap for many years by converting Python code into compiled C programs. A range of Scientific computing packages relies on Cython to speed up computation. Let’s compare its performance with its modern alternative. We’ll start by counting prime numbers using plain Python. Then, we’ll compare it with its Cython ...

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