Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Erfahren Sie, wie Sie mit NumPy, der beliebtesten Python-Bibliothek für Data Science, Arrays erstellen, indizieren, segmentieren, umformen und arithmetische Operationen ausführen.

Arrays are super useful. If you want even more details about python and arrays - this is a very useful site from Cornell. My python-foo will probably never catch up with The Virtuosi.

This project demonstrates how to serialize a byte array in C# and deserialize it in Python. The primary use case is to work with images - rodo1985/csharp_python_byte_array_serialitzation ...

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 ...