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Bradlee Speice 2020-06-30 17:14:29 -04:00
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_posts/2020-06-29-release-the-gil-pt.-2.md
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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 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. [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 There's a great deal of overlap between Pybind11 and Cython. Where Pybind11 makes it easy for C++ to
starts with C++ and facilitates interaction with the interpreter, Cython starts with a Python-like interact with the interpreter, Cython uses a Python-like language to facilitate interaction with
language and facilitates interaction with other code written in C++. In a way, Pybind11 is for C++ C++. Another way of thinking about is like this: Pybind11 is for C++ developers who want to interact
developers who want to interact with Python, and Cython is for Python developers who want to with Python, and Cython is for Python developers who want to interact with C++.
interact with C++.
Just like the previous post, we'll examine a simple Fibonacci sequence implementation to demonstrate Just like the previous post, we'll examine a simple Fibonacci sequence implementation to demonstrate
how Python's threading model interacts with Pybind11: 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 a = 0;
std::uint64_t b = 1; 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++) { for (std::uint64_t _i = 2; _i < n; _i++) {
a = b; a = b;
b = c; b = c;