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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Characterization and Selection of Probability Density Function in a Discrete Random Switching Period SVPWM Strategy

Abstract: Aiming at suppressing the switching frequency harmonics in the integrated permanent magnet synchronous motor (PMSM) systems, a discrete random switching period (DRSP) space vector pulse ...
IEEE

String Stability Based Cloud Predictive Control of Vehicle Platoon With Random Time Delay

Abstract: The advancement of communication technologies significantly enhances the capabilities for cooperative control among connected vehicles. In terms of platooning, this paper proposes a ...
GitHub

Azure Functions Python Library

Python support for Azure Functions is based on Python 3.10, 3.11, 3.12, and 3.13 serverless hosting on Linux, and the Functions 2.x (EOL), 3.x (EOL) and 4.0 runtime. This project welcomes ...
GitHub

Patch the inner source of python functions at runtime.

Patchy works by replacing the code attribute of the function, leaving the function object itself the same. It's thus more versatile than monkey patching, since if the function has been imported in ...