Long in development, the new major release of the Python-to-C compiler sheds legacy Python support and readies Cython developers for big changes in Python.

This paper proposes a library for implementing the genetic algorithm using Python mainly in NumPy and speeding-up its execution using Cython. The preliminary Python implementation is inspected for ...

Cython for Speeding-up Genetic Algorithm Abstract: This paper proposes a library for implementing the genetic algorithm using Python mainly in NumPy and speeding-up its execution using Cython. The ...

Cython几乎可以为任何原始Python代码提供良好的加速，不需要做太多额外的工作。 记住，你用的循环越多、处理的数据越多，Cython就越有帮助。 看看下表，其中显示了Cython为不同的阶乘值提供了多少速度。 我们使用Cython获得了超过36倍的加速！ 参考链接： ...

Standard Python implementation (CPython) is not extremely fast and I'm looking for something which allow to speed up my scripts. I guess my scripts are quite usual: many RDkit operations on mols li ...

Cython, the toolkit that allows Python code to be converted to high-speed C code, has a new 0.27 release that can now use Python’s own native typing syntax to speed up the Python-to-C conversion ...

"description": "Python is an ideal language for developing software for the analysis of\nscientific data. Although packages such as NumPy, SciPy, and pandas can\noffer execution speeds similar to ...