An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Learn how to calculate the maximum projectile range using Python! This step-by-step tutorial guides you through coding the physics equations, simulating projectile motion, and visualizing results.

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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 ...

Abstract: Matrix completion refers to recovering a matrix from a small subset of its entries. It is an important topic because numerous real-world data can be modeled as low-rank matrices. One popular ...

Abstract: This paper investigates the transient stability of the grid-forming and grid-following (GFM-GFL) paralleled system based on the Lyapunov direct method. To achieve this goal, an improved ...

TIOBE Programming Index News August 2025: AI Copilots Are Boosting Python’s Popularity Your email has been sent Generative AI can be a self-fulfilling prophecy: Because gen AI scans vast amounts of ...

A robust and user-friendly scientific calculator application built with Python's Tkinter for the graphical interface and NumPy for powerful numerical and matrix operations. This project aims to ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Vibrational sum frequency generation (SFG) spectroscopy can selectively probe noncentrosymmetric arrangements of molecules or crystalline domains buried in amorphous bulk phases. This attribute makes ...

Have you ever thought of the humble SUM function as a secret weapon for advanced analytics? Most Excel users see it as a basic tool for adding numbers, but what if I told you it could do so much more?

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...