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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.
Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...
Posted in Software Hacks Tagged python, quantum, quantum computing ← Bringing Guitar Synthesis To The Microcontroller 1920’s Claratone Radio Runs Windows 10 → ...
Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.
The University Research Computing Facility (URCF) is pleased to announce our Summer 2025 workshop series.
Measurement Computing Corporation (MCC) today announced the release of Python support for MCC DAQ devices. Python is a powerful object-oriented progra ...
Rigetti Computing in Berkeley, California, which has its own 31-qubit machine, has released a quantum-software development kit called Forest, which includes a Python library called pyQuil.
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 ...