Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

This library is not meant to stand-alone. Instead it defines common helpers used by all Google API clients. For more information, see the documentation. Python == 2.7, Python == 3.5, Python == 3.6, ...

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

pyp will statically analyse the input code to detect undefined variables. Based on what it finds, it will proceed to transform the AST of the input code as needed. We then compile and execute the ...

So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...

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.