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

Discover the Python and NumPy concepts that are easy to forget but essential for quantum physics calculations. This tutorial highlights key functions, array manipulations, and numerical techniques ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...

Python is a powerful programming language that is easy to learn and easy to work with, but it is not always the fastest to run—especially when you’re dealing with math or statistics. Third-party ...

This repository contains everything you need to follow the "Thinking In Arrays" tutorial, presented at the SciPy 2024 conference on Monday, July 8, 2024 at 13:30am‒17:30pm PDT in Room 315. This ...

This tutorial is an introduction to array-oriented programming. We'll focus on techniques that are equally useful in NumPy, Pandas, xarray, CuPy, Awkward Array, and other libraries, and we'll work in ...