Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Many of these courses focus on fast-growing, high-demand fields like data science, AI, robotics, biotechnology, and programming. This makes world-class IIT education accessible to a broader audience, ...

Abstract: With the rising popularity of Object-Oriented Programming (OOP) in both research and industry, it is important that computer science students be educated in the fundamentals of OOP and what ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

February 2026 TIOBE Index shows Python still far ahead, C strengthening in second, C# rising, and R holding the top 10 as rankings compress.

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...

A production-ready Python development environment template using modern tools: uv for blazing-fast package management, Ruff for lightning-fast linting and formatting, ty for fast and reliable type ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...