It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

I added NumPy (think “numbers” and “Python” — a package for numerical/scientific computing in Python) plus python-devel and python-numpy, downloaded the code from the end of that ...

NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

Python has become the default language of solving complex data problems due to its ease of use, plethora of domain-specific software libraries, and stellar community and ecosystem. All of these things ...

Posted in Software Hacks Tagged python, quantum, quantum computing ← Bringing Guitar Synthesis To The Microcontroller 1920’s Claratone Radio Runs Windows 10 → ...

As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

That’s where the concept of intermittent computing comes into play, and now thanks to the BFree project, you can develop Python software that persists even when the hardware goes black.

Python is an extermely popular programming language that is ubiquitous in research computing. Depending on your use case, you may need to just run a simple python command or you may need to build a ...

The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

Researchers at the Israeli Technion Institute have developed a software package for performing in-memory operations without the participation of the processor, using Python. In recent years, a new ...