What's great for programming pros is good enough for beginners.

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 ...

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

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

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 ...

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 ...

This README file provides the description of the code and data used in my final year project. The content is sectioned into folders with corresponding names. Descriptions of the folders and their ...

For general coding workloads, the Lenovo ThinkPad T16 offers the best balance of specs and power in my book. This 16in business laptop combines a well-sized screen, superb battery life, and no other ...