publish dev build/official release to TestPyPI/PyPI automatically when CI success publish documents automatically when CI success extract change log from github and integrate with release notes ...

Explore how to build a DIY electric motor using simple, readily available materials in this detailed tutorial. Watch step-by-step as we construct the rotor, wind the stator coils, assemble the motor ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.