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	Rewording
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		| @ -26,11 +26,10 @@ and Python", and they certainly deliver on that. Setting up a hybrid project whe | ||||
| and Python (using setuptools) could coexist was straight-forward, and the repository also works as | ||||
| [a template](https://github.com/speice-io/release-the-gil-pybind11/settings) for future projects. | ||||
|  | ||||
| On a technical level, there's a great deal of overlap between Pybind11 and Cython. Where Pybind11 | ||||
| starts with C++ and facilitates interaction with the interpreter, Cython starts with a Python-like | ||||
| language and facilitates interaction with other code written in C++. In a way, Pybind11 is for C++ | ||||
| developers who want to interact with Python, and Cython is for Python developers who want to | ||||
| interact with C++. | ||||
| There's a great deal of overlap between Pybind11 and Cython. Where Pybind11 makes it easy for C++ to | ||||
| interact with the interpreter, Cython uses a Python-like language to facilitate interaction with | ||||
| C++. Another way of thinking about is like this: Pybind11 is for C++ developers who want to interact | ||||
| with Python, and Cython is for Python developers who want to interact with C++. | ||||
|  | ||||
| Just like the previous post, we'll examine a simple Fibonacci sequence implementation to demonstrate | ||||
| how Python's threading model interacts with Pybind11: | ||||
| @ -46,9 +45,8 @@ inline std::uint64_t fibonacci(std::uint64_t n) { | ||||
|  | ||||
|   std::uint64_t a = 0; | ||||
|   std::uint64_t b = 1; | ||||
|   std::uint64_t c = 0; | ||||
|   std::uint64_t c = a + b; | ||||
|  | ||||
|   c = a + b; | ||||
|   for (std::uint64_t _i = 2; _i < n; _i++) { | ||||
|     a = b; | ||||
|     b = c; | ||||
|  | ||||
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