These are the five best budget 3D printer deals for Amazon Prime Day — here’s a guide to the best 3D printers for beginners

These are the five best budget 3D printer deals for Amazon Prime Day — here’s a guide to the best 3D printers for beginners

We’ve scoured Amazon to find you the best budget 3D printers available during Prime Day 2025, which I’ve compiled into a guide for you below, along with a breakdown of each printer’s strengths and weaknesses based on our expansive library of 3D printer reviews and in-depth testing. Right now in my office I have two…

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A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines Lilac’s dataset management capabilities with Python’s functional programming paradigm to create a clean, extensible workflow. From setting up a project and generating realistic sample data to extracting insights and exporting filtered…

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Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text

Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text

In this tutorial, we will explore how to use Microsoft’s Presidio, an open-source framework designed for detecting, analyzing, and anonymizing personally identifiable information (PII) in free-form text. Built on top of the efficient spaCy NLP library, Presidio is both lightweight and modular, making it easy to integrate into real-time applications and pipelines. We will cover…

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Building Event-Driven AI Agents with UAgents and Google Gemini: A Modular Python Implementation Guide

Building Event-Driven AI Agents with UAgents and Google Gemini: A Modular Python Implementation Guide

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to enable nested event loops, then configure your Gemini API key and instantiate the GenAI client. Next, we’ll define our communication contracts, Question and Answer…

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