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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

Capacitated Shortest Path Tour Problem-Based Integer Linear Programming for Service Chaining and Function Placement in NFV Networks

Abstract: Network functions virtualization (NFV) is a new paradigm to achieve flexible and agile network services by decoupling network functions from proprietary hardware and running them on generic ...
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 ...
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 ...