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

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

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 ...

jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy ...

There are way too many books about Python to list here many of them very good, but directed towards different learning styles and levels. This list includes books that I use, or that students in my ...