Beginner's Guide To Building Automated Trading Systems

The first component is the Market Data Gateway (or API Wrapper). This layer creates a persistent connection to the exchange's servers, translating raw 'JSON' or 'FIX' messages into clean Python data ...
Visual Studio Magazine

Microsoft Ships Production-Ready Agent Framework 1.0 for .NET and Python

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...
CNX Software

PycoClaw – A MicroPython-based OpenClaw implementation for ESP32 and other microcontrollers

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...
GitHub

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
Hosted on MSN

Python physics lesson 3: Exploring graphs and core concepts

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...
IEEE

Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary Recommendations

Abstract: Large Language Models (LLMs) excel at general-purpose reasoning by leveraging broad commonsense knowledge, but they remain limited in tasks requiring personalized reasoning over ...
blockchain

Hybrid Retrieval in Production RAG: Combining Vector Search and Graph Traversal for Advanced AI Applications

According to @godofprompt, leading AI systems at frontier labs are utilizing hybrid retrieval by integrating vector search for broad initial matching and graph traversal for deep contextual ...
Hosted on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. 'Not tough rhetoric, it's insanity': Marjorie Taylor Greene explains why she's calling ...
Frontiers

Beyond single references: pangenome graphs and the future of genomic medicine

Genomic medicine relies on single reference genomes that miss crucial genetic diversity, creating diagnostic gaps that disproportionately affect underrepresented populations. Pangenome graphs, ...
marktechpost

A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...
IEEE

Event Graphs: Syntax, Semantics, and Implementation

Abstract: This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in ...