See how memory, search, MCP integrations, and AI skills work together to reduce context-switching and keep client work moving ...

In today’s digital landscape, application security isn’t just an afterthought — it’s a fundamental requirement. As C# and ASP.NET developers, we’re responsible for protecting sensitive user data, ...

We present the BioNumPy package, which enables efficient and intuitive array programming on biological data in Python. Internally, this is handled by a ragged data structure (similar to that in ref. 4 ...

src-layout with Cython. Using cibuildwheel to generate pre-built distributions for different platforms. Publishing the distribution to PyPI using Github Action. ... and many more details! (Note) This ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

Now you can have Cython’s speed boost without its cumbersome syntax, using the pure Python syntax you know and love. Cython has long been one of the great secret weapons of Python performance, letting ...

In silico assessment of protein receptor interactions with small ligands is now part of the standard pipeline for drug discovery, and numerous tools and protocols have been developed for this purpose.

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython is used for wrapping external C libraries that speed up the execution of a ...

This is a sample project that wrap some functions from existing c-libraries. Cython, swig and cffi have been used to build the wrappers. A benchmark and a summary has been added to compare the ...

Last month, Adina Howe took up a post at Iowa State University in Ames. Officially, she is an assistant professor of agricultural and biosystems engineering. But she works not in the greenhouse, but ...