In this lesson, you'll be introduced to the basic mathematical entities used in linear algebra. We'll also look at how these entities are created (and later manipulated) in Python using NumPy. A ...

Here's a hands-on tutorial from bona-fide data scientist Dr. James McCaffrey of Microsoft Research to get you up to speed with machine learning development using C#, complete with code listings and ...

NumPy includes some tools for working with linear algebra in the numpy.linalg module. However, unless you really don’t want to add SciPy as a dependency to your project, it’s typically better to use ...

Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...

The * means the namespace for all functions in SymPy are loaded, so we can call them directly without having to preface them with the package name. Vectors and Matrices are created as instances of a ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

This repository supplements the paper "Fast Single-Snapshot Harmonic Recovery with 2D Sparse Arrays using BCCB Matrices". We implement computationally efficient versions of the ISTA, FISTA, and ADMM ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...