New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Abstract: Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task ...

The reticulate package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R ...

One way to speed up your Python programs is to write modules in the Zig language and use them in your Python code. Here's how to get started. Python might not be the fastest of languages, but it has ...

Did you know it’s now possible to build blockchain applications, known also as decentralized applications (or “dApps” for short) in native Python? Blockchain development has traditionally required ...

In the dynamic scene of Python development, understanding the qualification between frameworks and libraries is pivotal for extended success. Python frameworks give structure and support for building ...

CPython's C-API has GIL acquiring/releasing functions such as PyGILState_Ensure and PyGILState_Release. Programmers can call CPython's C-APIs from outside of Python threads if they manage GIL's state ...

A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs. Python has a ...