Abstract: Programming has become increasingly important in our society. However, the learning process presents significant challenges, particularly for novice students of introductory courses. From ...

SANTA BARBARA, Calif. (KEYT) A pilot program that shuttles people of all abilities up and down State Street is being extended. It's called The Loop Shuttle. City leaders said 16,700 people have taken ...

TIOBE Programming Index News – November 2025: C# Closes In on Java Your email has been sent The November 2025 TIOBE Index brings another twist below Python’s familiar lead. C solidifies its position ...

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 ...

Imagine you have a directory filled with thousands of files, and you have been asked to process these files one by one. Sounds quite tedious, right? Well not, if you are using For loops in Bash script ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Abstract: Automated loop invariant synthesis is crucial for program verification. While template-guided generation brings new opportunities to this field, the lack of sufficient domain knowledge often ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...