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The European Union’s Artificial Intelligence Act, which came into effect on August 1, 2024, has ushered in a new era of AI regulation with global implications. This groundbreaking legislation extends its reach beyond European borders, affecting all entities utilizing AI technology that impacts EU citizens or employees – regardless of the company’s physical location. The impact on the healthcare sector is particularly significant. The Act identifies several AI applications in healthcare as high-risk, subjecting them to stringent regulatory requirements. This classification encompasses a wide range of AI-driven healthcare technologies, from diagnostic tools to patient management systems. If your company is…

Image by Author   # Introduction  When designing an application, choosing the right SQL database engine can have a major impact on performance. Three common options are PostgreSQL, MySQL, and SQLite. Each of these engines has unique strengths and optimization strategies that make it suitable for different scenarios. PostgreSQL typically excels in dealing with complex analytical queries, and MySQL can also deliver robust general-purpose performance. On the other hand, SQLite offers a lightweight solution for embedded applications. In this article, we’ll benchmark these three engines using four analytical interview questions: two at medium difficulty and two at hard difficulty. In each…

Most AI tools forget you as soon as you close the browser window. The system begins all interactions with a new user. AI agents provide a solution to this problem because they handle their complete workflow through their system. MaxClaw is one of the best in this category. MiniMax developed this system which operates completely from the cloud space. The system requires no installation procedures because users need neither to download anything nor to configure anything nor to perform upkeep tasks.  For those unaware, the MiniMax M2.5 foundation model, operating on the open-source OpenClaw framework, powers MaxClaw. MaxClaw operates as a continuous AI system that maintains…

Image by Author   # Introduction   All tutorials on data science make detecting outliers appear to be quite easy. Remove all values greater than three standard deviations; that’s all there is to it. But once you start working with an actual dataset where the distribution is skewed and a stakeholder asks, “Why did you remove that data point?” you suddenly realize you don’t have a good answer. So we ran an experiment. We tested five of the most commonly used outlier detection methods on a real dataset (6,497 Portuguese wines) to find out: do these methods produce consistent results? They…

I asked ChatGPT how it feels about the recent and viral AI trend of switching from ChatGPT to Claude. Here is what it said: “As for how it makes me feel: I don’t have feelings or brand loyalty. But from a usefulness standpoint, it’s a good thing. Easier switching forces AI products to compete on trust, performance, and user experience instead of trapping people with context lock-in. If Claude makes migration easier, that raises the bar for everyone.” Those are some hard facts. I’m glad ChatGPT is having a healthy approach to competition, but more importantly, it admits that Claude…

Image by Editor   # Introduction  Data pipelines in data science and machine learning projects are a very practical and versatile way to automate data processing workflows. But sometimes our code may add extra complexity to the core logic. Python decorators can overcome this common challenge. This article presents five useful and effective Python decorators to build and optimize high-performance data pipelines. This preamble code precedes the code examples accompanying the five decorators to load a version of the California Housing dataset I made available for you in a public GitHub repository: import pandas as pd import numpy as np …

This is not another of those ‘AI is killing jobs’ reports. Anthropic, in a new research, seems to have asked the deeper questions this time. Its latest labour-market study asks what happens when we stop guessing which jobs AI could affect. What if we, instead, start measuring where it is actually showing up inside real work? And for the same reason, Anthropic seems to have introduced a completely new metric to measure AI job impact. What I talk about is a new labour-market paper that Anthropic has come up with on March 5, 2026. Titled “Labour market impacts of AI”,…

Image by Author   # Introduction  If you are reading this article, you likely know a bit of Python, and you are curious about data science. You might have written a few loops, maybe even used a library like Pandas. But now you face a common problem. The field of data science is vast, and knowing where to start and, more importantly, what to ignore can feel exhausting. This tutorial is written for someone exactly like you. It goes through the noise and provides a clear, structured path to follow. The goal of data science, at its core, is to extract…

Tools like ChatGPT, Gemini, and Claude pushed AI into everyday conversations. Suddenly everyone was talking about AI and a newer term that appeared alongside it: Generative AI. The two are often used interchangeably, but they aren’t the same thing. Generative AI isn’t a replacement for AI. It’s a part of it. To understand the difference, we first need to look at what AI is, what it was originally built to do and generative AI extends those capabilities. What is AI? Artificial Intelligence is a domain that refers to computer systems designed to perform tasks that normally require human intelligence. These…

Image by Author   # Introduction  AI agents help build autonomous systems that can plan, use tools, and collaborate to solve complex problems. But building reliable multi-agent systems requires the right orchestration framework. As an AI engineer working with agents, you need frameworks that handle the complexity of agent coordination, tool usage, and task delegation. In this article, we’ll explore frameworks that work well for: Orchestrating multiple specialized agents Managing complex workflows and task delegation Integrating tools and external services Handling agent communication and collaboration Building production-ready agentic systems Let’s explore each framework.   # 1. LangGraph  LangGraph, built by the LangChain…