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 ...

To avoid problems with installation, use of the virtualenv Python virtual environment is recommended. Then use pip to install all dependencies (numpy, scipy, matplotlib, netCDF4, ...), e.g.: for ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

Abstract: Being able to build a map of the environment and to simultaneously localize within this map is an essential skill for mobile robots navigating in unknown environments in absence of external ...