Dropbox's compiler for Python uses the LLVM to push the language closer to C/C++ speeds, but it's far from production-ready Fast development or fast execution, take your pick.

Hallmarks of Anaconda's new Enterprise release include deployment of Python-generated assets to executives and analysts, and Python machine learning models to mainstream developers.

Developers are still using Python for data tasks and AI, but many are still using older releases, putting productivity at ...

Nengo, a compiler that developers can use to build their own algorithms for AI applications that will operate on general purpose neuromorphic hardware. Compilers are a software tool that programmers ...

The Copperhead compiler suite, a Python-based tool, unlocks the full potential of the Gemini APU's impressive capabilities, including its associative, massively parallel, non-Von-Neumann bit ...

The TIOBE Index is an indicator of which programming languages are most popular within a given month. According to the TIOBE ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. The ...

A Microsoft project to JIT-compile Python for speed, now under new developers, has reached a milestone.