Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

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

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 ...

There are six stages of compiling a program: Variables are checked to make sure they have been correctly declared and contain the correct data type. Operations are checked to ensure that they are ...