This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.

A hands-on guide to building and training a two-hidden-layer neural network regressor in C#, including data preparation, SGD, evaluation, and using the trained model.

GPT-6 Luna and Sol one week in: where to run them, what devs built, real cost numbers, and where they fell short.

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...