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Getting Started with DuckLake: Build a Lakehouse on DuckDB in Under an Hour
DuckLake is an open lakehouse table format from the DuckDB team. It keeps table metadata in a SQL database and the data in Parquet files. DuckLake 1.0 shipped in April 2026 with a stable specification and guaranteed backward compatibility.
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5 FREE Open-Source Alternatives to Jev
Looking for a free alternative to Jev? Here are 5 open-source decision models you can run locally, from high-accuracy options to lightweight models for AI agents.
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Building Graph-Enhanced GenAI Applications with graphrag-toolkit
Learn how graph-enhanced RAG connects related facts that plain vector search misses, then build a multi-hop research assistant with AWS Labs' open-source graphrag-toolkit, Neo4j, and pgvector.
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7 FREE Books to Learn About Building AI Systems
Building an AI agent is easy. Building one that actually works in production is not. These 7 free books cover the engineering knowledge you need to make that jump.
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Where Does Abacus.AI’s Smaug Model Improve Performance the Most?
Abacus.AI applied the same fine-tuning recipe to three very different open-weight models. The gains landed in completely different places & that tells you more than any single benchmark score.
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What Senior Data Science Job Postings Actually Ask for in 2026
A data-backed breakdown of the skills, credentials, and capabilities that hiring managers are screening for in senior roles right now.
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9 Key LLM Inference Metrics Explained in 5 Minutes
Learn how to measure LLM inference performance using key metrics and formulas for latency, token generation speed, and system load.
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How to Use AI for Enterprise BI
Learn how AI can make enterprise business intelligence more accessible, automate reporting, uncover insights faster, and improve decision-making with the right governance.
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Integrating LLM Translation into Your Scikit-Learn Pipelines with Scikit-LLM
Learn, in a few easy steps, how to build a two-stage scikit-learn pipeline for multilingual text classification, guided by two pre-trained language models handled by Scikit-LLM for translation and zero-shot classification.
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5 Techniques for Fine-Tuning LLMs Without Breaking the Bank
Learn five practical ways to fine-tune LLMs on a budget, from LoRA and QLoRA to Unsloth, DPO, and right-sizing your GPU, with working code for each technique.
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Can AI Spot Data Leakage Before Your Model Hits 99% Accuracy?
4 classic leaks, planted in real data, tested cold on 4 models.
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5 Useful Python Automation Scripts for Beginners
Learn how to use Python scripts to automate repetitive tasks, organize files, process images, and simplify daily workflows.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on November 9, 2026 in Python
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Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20
Get unlimited free access to 365 Data Science’s complete AI and data learning platform, including 134 courses, hands-on projects, and certifications, through November 20.
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How to Give Your AI Agent Memory
Learn how to give AI agents long-term memory using the OpenAI Agents SDK, Mem0, and MCP to remember preferences, context, and important information across sessions.
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Top 7 Python Libraries for Time Series Analysis and Modeling
Working with time series data? These Python libraries cover everything from classical forecasting to deep learning and anomaly detection.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on November 6, 2026 in Python
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Web Scraping 7,000 Pages in 3 Minutes with Python and Olostep
Scrape thousands of pages in a few minutes with the Olostep Batch API, download Markdown, and measure what actually finished.
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What I Did with Hermes Agent, Ollama & Local Models
Build a local multi-agent travel planner with Hermes Agent and Ollama: a coordinator and three specialist agents that research destinations, suggest stays, and generate real Google Flights search links.
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The Data Science Interview in 2026: What’s Changed and How to Prepare
A round-by-round breakdown of how the hiring process has shifted, from AI-assisted coding rounds to GenAI evaluation questions, and what you need to do differently to be ready.
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7 Small Specialist Models That Beat Giant LLMs at One Job
Meet seven open specialist models under 10 billion parameters that rival much bigger systems at one job each, from transcription and OCR to routing and speech.
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Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-learn methods into a single, unified pipeline for summarizing and classifying raw, messy text.
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8 LLM Inference Frameworks You Should Try in 2026
Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment.
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Running LLMs Locally Does Not Mean Your Data Is Safe: What Cohere’s Study Reveals
Cohere caught Alibaba’s Qwen model unexpectedly attempting to upload a test payload to Alibaba Cloud storage during a cybersecurity task, but the sandbox blocked the request, leaving questions about what triggered the behavior.
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5 AI Certifications Worth Paying For in 2026 (And Which to Skip)
A data-backed guide to the credentials that actually move the needle for data scientists and machine learning practitioners.
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Vibe Coding a Classic Game: Building Breakout Step by Step with an AI Assistant
Vibe coding is a workflow where you describe what you want in natural language and let an AI agent handle code generation, execution, and iteration rather than typing every line yourself.
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Silent Data Errors That Survive Every Cleaning Pipeline
4 bugs that pass every null check, duplicate check, and schema test.
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The AI Skills That Actually Show Up in Job Postings Right Now
Which AI skills appear most often in job postings right now, and what do they mean for your career?
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5 Docker Containers You Need for a Home AI Lab
Learn which five Docker containers make a reliable home AI lab, from Ollama and Open WebUI to Qdrant, n8n and Portainer CE, what job each one does, and the first mistake to avoid with each.
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Access Multiple AI Models in Your Python Apps Using OpenRouter
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models, and set up automatic fallbacks.
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Can This Open-Source Model Beat AI Detectors? Let’s Test It Locally
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI detectors to see if the hype is real.
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Which Local LMs are Best For Which Tasks
A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained model, you download and run entirely on your own hardware.
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Google Gemini Omni: What It Actually Does, What It Costs, and How It Compares
Gemini Omni is a member of Google's Gemini generative model family, built specifically to create output from any combination of input types, starting with video.
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The Roadmap to Becoming a Computer Vision Engineer in 2026
A four-stage technical roadmap for becoming a computer vision engineer, from spatial mathematics and ViTs through 3D neural rendering and edge deployment optimization.
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Building Your First AI Agent in Python with the OpenAI Agents SDK
Build your first AI agent in Python with the OpenAI Agents SDK, adding web search, Python tools, conversation memory, and tracing in a simple end-to-end workflow.
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7 Advanced Python Design Patterns for Data Scientists
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the pressure it solves, with the Python shape it takes and the caveat that keeps it honest.
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What Companies Actually Mean When They Say They Want “AI Experience”
What employers actually mean when job postings list "AI experience" as a requirement.
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5 Free AI Coding Agents You Should Try in 2026
Access powerful open-source and proprietary models through OpenCode Zen, Gemini’s free quota, Kilo Gateway, Cline Provider, and Charm Hyper without paying for API access upfront.
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How to Process Large JSON Files in Python With ijson
I loaded a large JSON file in Python and watched memory jump from 43 MB to 808 MB. Here’s what happened and how streaming changed everything.
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Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining
Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more, including how to run the free demo yourself.
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Named Entity Recognition Using Scikit-LLM
Build standardized custom NER pipelines in a few simple steps, powered by the reasoning capabilities of LLMs.
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5 Best GitHub Repositories for AI Agent Skills
Explore five popular AI agent skill collections that help coding agents plan, test, debug, review, and build better software.
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The Roadmap to Becoming an AI Product Manager in 2026
A structured four-phase roadmap for building the technical fluency, evaluation skills, and governance literacy needed to succeed as an AI product manager in 2026.
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5 Docker Containers for Devs
Five self-hosted Docker containers replace the public utility sites where developer data quietly leaks. Learn which ones handle JWT decoding, data transformation, file conversion, API testing, and diagram rendering locally.
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Claude Haiku 5.5: What’s New and How to Use It for Fast, Cheap AI Workflows
Claude Haiku 5.5 cuts list prices by 90% and adds adaptive thinking and a 1M token context window. Learn what broke from Haiku 4.5, and build classification, extraction, and sub-agent workflows in Python using the new API.
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LangChain vs. LlamaIndex vs. Building From Scratch: Here’s What I Suggest
Choosing the right framework for your large language model application comes down to one question: what are you actually optimizing for?
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7 Checks to Run Before Trusting AI-Generated Code
AI makes writing code cheap. Verifying it is still your job.
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Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself
From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, where each falls short, and how to choose the right one for your use case.
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5 Best Resources to Learn About World Models in 2026
World models could be the next big shift in AI. Learn more right now.
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Abacus AI Honest Review: Key Criticisms, Facts & What Users Should Know
This review highlights the main critiques of Abacus AI, its price, user reviews, reliability of workflows, and real-life use cases to assist you in evaluating its advantages and disadvantages.
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Building AI Applications with OGX, the Open-Source Agentic API Server
OGX is an open-source agentic API server for building OpenAI-compatible AI applications, using any model and any infrastructure.
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7 Open-Source AI Tools That Can Replace Paid Subscriptions
Find open-source alternatives to OpenAI API, Midjourney, Claude Code, Notion, Wispr Flow, Grammarly, and NotebookLM that you can run locally or self-host for more privacy, control, and lower cost.
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Few-Shot Text Classification with Scikit-LLM
Leveraging Scikit-LLM for one of the simplest yet most practical text classification tasks utilized in the modern AI landscape: few-shot classification.
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5 Fun Projects for LLM Inference Engineering
Want to understand what makes LLMs fast? Build the systems yourself.
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The Roadmap to Mastering Agentic AI Systems in 2026
A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi-agent swarms and production observability.
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5 AutoHotkey Scripts for Data Scientists
Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and snapping windows into place.
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The Rise of AI Software Clones: Why REA and ArtCraft Are Going Viral
REA and ArtCraft are two projects driving a wave of AI-built clones that attempt to recreate Adobe and Microsoft software, letting developers reverse-engineer and rebuild commercial tools without access to the original source code.
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ChatGPT vs. Claude vs. Gemini for Data Science Work: Here’s What I Found
Compare ChatGPT, Claude, and Gemini across the data science tasks that matter most to statisticians and analysts.
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10 Hugging Face Models Worth Knowing in 2026
Explore 10 Hugging Face models used across text, vision, audio, and retrieval in 2026.
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Build Your First MCP Server in Python (Stateless Spec Edition)
MCP just got simpler. Learn how to build a stateless MCP server in Python and expose tools, resources, and prompts over HTTP.
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10 Free AI Tools That Replace Expensive Software for Data Scientists
Build a production-grade data science toolkit without spending a dollar, using open-source AI tools that match, and sometimes exceed, their paid alternatives.
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Bridging Algorithmic Design and Regulatory Standards in Enterprise AI
Your models can be both cutting-edge and compliant if you stop treating governance as the final hurdle and start building it into every stage of the ML pipeline.
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Building AI Agents with Docker Agent
Docker Agent is an open-source, Apache 2.0-licensed CLI plugin built by Docker Engineering, installed and run as docker agent. Its own tagline states the goal plainly: run AI agents like containers.
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7 Best Resources to Learn About Self-Evolving AI Agents
The next step for AI agents? Self-improvement. Here are 7 resources to get started.
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OpenAI Dots: The Data Scientist’s Reality Check
Dots promises a lot. Before you hand it the keys to your workflow, here's what practitioners need to know.
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I Tested 5 AI Coding Assistants for a Month: Here’s What I Actually Found
Compare five AI coding assistants across real tasks to find which tool fits your workflow.
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Who Pays for AI Data Centers?
The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.
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5 Best Practices for Building Robust Python AI Libraries
This article covers building robust Python AI libraries specifically, Python AI SDK best practices, and what separates a production-ready AI package from one that only survives in its own demo.
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3 Statsmodels Tricks for Time Series Analysis & Forecasting
A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it.
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Python Foundations for Engineering: A KDnuggets Cheat Sheet
This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.
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Forward Deployed Engineer: AI’s Hottest New Career, or Consulting With a Better Title?
The forward deployed engineer: is this the hot new AI career, or has the hype cycle rebranded?
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5 Proven Techniques for Token Compression and Prompt Optimization
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
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BrowserAct AI Web Scraper in 2026: Build Once, Run Repeatedly
Describe your data needs in plain language and turn websites into a continuous source of fresh data.
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From Messy Documents to Structured Data with Docling
Docling takes documents in whatever inconsistent format they arrive in, and converts them into one unified, structured representation that both people and AI systems can work with reliably, rather than everyone downstream having to guess at what a wall of extracted text actually meant.
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How to Use Marimo for Interactive Data Analysis
Learn how to use Marimo for interactive data analysis with Python, Pandas, and Altair, and turn a reactive notebook into a simple shareable dashboard.
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