JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
A high-performance, structured logging system for Python applications. Supports async logging, Elastic Stack integration, structured JSON logs, and colorized console output.
Abstract: To overcome the computational limitations that impede large-scale palaeobiological research, we engineered PyDivDyn, a high-performance Python package. We architected PyDivDyn with a fully ...
The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...
Abstract: Belief propagation (BP) combined with ordered statistics decoding (OSD) can achieve near-optimal logical error rates for surface codes. However, OSD ...
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