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Python physics lesson 19: Learn how Monte Carlo approximates pi

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...
GitHub

CUDA-first OpenTelemetry Python SDK for LLM inference observability and explainability

This repository is optimized for Kaggle dual Tesla T4 notebooks and small GGUF models (1B-5B parameters, Q4_K_M quantization). It ships lightweight Python code and downloads large CUDA binaries on ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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

NVIDIA Integrates CUDA Tile Backend for OpenAI Triton GPU Programming

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...
IEEE

Online Coding Tutorial Systems: A New Category of Programming Learning Platforms

Abstract: This paper presents a new category that has been added to the classification of Kim and Ko (2017) for programming learning systems, namely the Online Coding Tutorial System (OCTS) category.