These lecture notes are intended for introductory linear algebra courses, suitable for university students, programmers, data analysts, algorithmic traders and etc. However, the crux of the course is ...

An introduction to vectors, matrices in the context of working with data. This book uses a computational-first approach that teaches readers the fundamentals of some of the most important Python ...

You’ll see that this SciPy cheat sheet covers the basics of linear algebra that you need to get started: it provides a brief explanation of what the library has to offer and how you can use it to ...

I am a big fan of the CuTe layout algebra and transformation. However, although CuTeDSL is now implemented in Python, all layout algebra must reside in a jitted or compiled function and do not support ...

In the ever-evolving landscape of artificial intelligence and software engineering, a remarkable breakthrough has emerged, fundamentally altering the paradigm of coding assistance. Meet Devin AI, the ...

This paper introduces the first release of Pytearcat, a Python package developed to compute tensor algebra operations in the context of theoretical physics, for instance, in general relativity. Given ...