In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Dive into 3D object modeling and projectile motion with Python in Lesson 4! In this tutorial, we guide you step by step through creating 3D visualizations and simulating projectile motion using Python ...

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

With a powerful enough PC, you don't need a cloud-hosted service to work with LLMs — you can download and run them locally on your own hardware. The hard part is standing up the infrastructure ...

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

Feel free to request an issue on github if you find bugs or request a new feature. Your valuable feedback is much appreciated to better improve this project. If you find this useful, please give it a ...

The Claude API can automate customer support, document processing, and content workflows at scale. Here's how businesses are actually using it in 2026 — with real examples.

Gscrib is a powerful Python library for generating G-code for CNC machines, 3D printers, and other automated devices. It provides a comprehensive set of tools for creating, transforming, and ...

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