For centuries, the Pythagorean Theorem has occupied a unique position in mathematics: both elementary and profound. Its ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

UCSD has seen a dramatic increase in freshmen needing remedial math, rising from 1 in 100 to 1 in 8, attributed to pandemic disruptions, poor teaching methods, and a focus on DEI over academic ...

Four years ago, I was given a fantastic opportunity to be a math coach for a primary years program. But when I started, there was no framework to work within, no script to follow. I was starting from ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

The codes and datasets for "Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction" [IJCAI 2025]. All ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

When writing or testing Python scripts, your terminal can quickly become cluttered with logs, debug messages, and outputs. A clean console not only improves readability but also helps you stay focused ...

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 ...