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The Best Agentic AI Browsers to Look For in 2026
A quick look at the top 7 agentic AI browsers that can search the web for you, fill forms automatically, handle research, draft content, and streamline your entire workflow.
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5 Fun Docker Projects for Absolute Beginners
Learn Docker by doing with five beginner-friendly projects covering hosting, multi-container apps, CI, and monitoring.
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Top 7 Open Source OCR Models
Best OCR and vision language models you can run locally that transform documents, tables, and diagrams into flawless markdown copies with benchmark-crushing accuracy.
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Probability Concepts You’ll Actually Use in Data Science
How can we reason with uncertainty and make smarter decisions from data? This article explains the key probability ideas in data science.
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5 Emerging Trends in Data Engineering for 2026
Looking ahead to 2026, the most impactful trends are not flashy frameworks but structural changes in how data pipelines are designed, owned, and operated.
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Gistr: The Smart AI Notebook for Organizing Knowledge
This article explains how Gistr transforms the way data professionals interact with their most valuable asset: their accumulated knowledge.
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7 Tiny AI Models for Raspberry Pi
This is a list of top LLM and VLMs that are fast, smart, and small enough to run locally on devices as small as a Raspberry Pi or even a smart fridge.
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5 Useful Python Scripts to Automate Boring Everyday Tasks
Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on December 19, 2025 in Python
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Prompt Engineering for Data Quality and Validation Checks
Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts.
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Hosting Language Models on a Budget
Learn how to run your own language model for free using lightweight models and Hugging Face Spaces.
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5 Top AI-Powered App Builders
Take a tour of 5 of the most popular AI-powered app builders out there to leverage automation in the process of building software.
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The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored)
The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy.
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How to Handle Large Datasets in Python Even If You’re a Beginner
You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you're a beginner.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on December 17, 2025 in Python
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5 Data Privacy Stories from 2025 Every Analyst Should Know
In this article we look at 5 specific privacy stories from 2025 that changed how analysts work day to day, from the code they write to the reports they publish.
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5 Workflow Automation Tools for All Professionals
Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills.
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The Data Detox: Training Yourself for the Messy, Noisy, Real World
In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.
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How Transformers Think: The Information Flow That Makes Language Models Work
Let's uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text "word by word".
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Emerging Trends in AI Ethics and Governance for 2026
in 2026, people want accountability frameworks that feel real, enforceable, and grounded in how AI behaves in live environments.
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How to Write Efficient Python Data Classes
Writing efficient Python data classes cuts boilerplate while keeping your code clean. And this article will teach you how.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on December 12, 2025 in Python
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The One Data Analyst Role That’s AI-Proof
And it pays $100K+ more than regular data analyst jobs.
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5 Lightweight Alternatives to Pandas You Should Try
Get started with five free Python libraries that let you analyze, filter, and process data faster than traditional Pandas.
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7 Steps to Mastering Agentic AI
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
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10 GitHub Repositories to Master Machine Learning Deployment
Master the essential skill of deploying machine learning models with courses, projects, examples, resources, and interview questions.
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Finding Meaningful Work in the Age of Vibe Coding
Vibe coding has devalued coding. Is there any meaningful work still left for us?
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5 Free Tools to Experiment with LLMs in Your Browser
Discover five free tools that let you run and test large language models directly in your browser without any setup.
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Why model distillation is becoming the most important technique in production AI
Nebius Token Factory customers use distillation today for search ranking, grammar correction, summarization, chat quality improvement, code refinement, and dozens of other narrow tasks.
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TPOT: Automating ML Pipelines with Genetic Algorithms in Python
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
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How AI Cuts Costs and Adds Value for Data Science Workflows (Sponsored)
Increasingly, the most interesting AI work is happening inside traditional, data-rich businesses that don't look anything like Big Tech.
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Prompt Engineering for Outlier Detection
Learn how to detect outliers by doing a real-life data project and improve the process with AI.
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5 Cutting-Edge AutoML Techniques to Watch in 2026
This article discusses five cutting-edge AutoML techniques and trends that are expected to shape the landscape of highly automated machine learning model building in the 2026 year about to start.
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Statistics at the Command Line for Beginner Data Scientists
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
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Top 5 Open-Source LLM Evaluation Platforms
If you’re building an LLM app, these open-source tools help you test, track, and improve your model’s performance easily.
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The Best Web Scraping APIs for AI Models in 2026
For powering next-generation AI models in 2026, Bright Data’s Web Scraper API delivers on all fronts: dynamic site support, anti-bot automation, structured output, and global reach.
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Pixi: A Smarter Way to Manage Python Environments
Pixi makes python environment management simple, consistent, and portable.
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Top 5 Small AI Coding Models That You Can Run Locally
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
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The Best Proxy Providers for Large-Scale Scraping for 2026
Robust proxies allow you to rotate identities, reach any region, and bypass sophisticated anti-bot systems, all while protecting your infrastructure from blocks and blacklisting.
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Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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5 Critical Feature Engineering Mistakes That Kill Machine Learning Projects
Check out this comprehensive guide to building production-ready features that actually work.
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Time Series and Trend Analysis Challenge Inspired by Real World Datasets
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
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10 GitHub Repositories to Master Vibe Coding
Explore top GitHub repositories to help you master this new style of coding and ship full-stack products faster than ever.
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How to Vibe Code on a Budget
What if I told you that a powerful vibe coding workflow on par with Claude Code can cost you less than $10? Let me prove it.
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How Proactive Cybersecurity Saves Money (and Reputation) (Sponsored)
The value of a modern company isn't in its firewalls; it's in its terabytes of proprietary, labeled data and the predictive models built upon them.
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7 ChatGPT Tricks to Automate Your Data Tasks
This article explores how to transform ChatGPT from a chatbot into a powerful data assistant that streamlines the repetitive, the tedious, and the complex.
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Building a Simple Data Quality DSL in Python
Build a lightweight Python DSL to define and check data quality rules in a clear, expressive way. Turn complex validation logic into simple, reusable configurations that anyone on your data team can understand.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on December 1, 2025 in Python
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Context Engineering is the New Prompt Engineering
It’s not about clever wording anymore. It’s about designing environments where AI can think with depth, consistency, and purpose.
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5 Cutting-Edge MLOps Techniques to Watch in 2026
In this article, we overview five cutting-edge MLOps trends that will shape 2026.
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Getting Started with the Claude Agent SDK
Set up, build, and test agentic apps with Claude Code, powered by your locally installed Claude CLI and Claude Code subscription.
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5 Practical Docker Configurations
These five configurations can turn your Docker setup from a slow chore into a finely tuned machine.
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Staying Ahead of AI in Your Career
The point is this: those who learn to collaborate with AI rather than fear it will hold the keys to tomorrow’s job market.
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7 AI Tools I Can’t Live Without as a Professional Data Scientist
These are the essentials that help me code faster, analyze data smarter, and automate more of my workflow.
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Are AI Browsers Any Good? A Day with Perplexity’s Comet and OpenAI’s Atlas
Understanding the underlying technology helps explain why AI browsers exhibit such uneven performance.
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5 Excel AI Lessons I Learned the Hard Way
This article transforms the unwelcome experiences into five comprehensive frameworks that will elevate your Excel-based machine learning work.
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Deploy an AI Analyst in Minutes: Connect Any LLM to Any Data Source with Bag of Words
Deploy an AI analyst fast by connecting any LLM to your SQL database with Bag of Words, allowing immediate, trustworthy data insights via natural language queries.
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The 5 FREE Must-Read Books for Every Machine Learning Engineer
Learn the theory, math, and engineering behind machine learning with these highly recommended free books.
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My Honest Review on Abacus AI: ChatLLM, DeepAgent & Enterprise
Abacus AI offers the world’s first professional and enterprise AI Super Assistant. It’s an all-in-one AI platform for the top language, image, voic,e and video models along with all the tooling and infrastructure to support them. Abacus can connect to all YOUR data and apply AI to automate work.
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Lux + Pandas: Auto-Visualizations for Lazy Analysts
Why write 10 lines of matplotlib code when Lux can show you what you need in one click?
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Make.com Automations for Saving Time as a Data Professional
Make.com enables data professionals to automate tedious tasks, such as data collection and reporting, without coding, saving hours weekly and enhancing accuracy.
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5 Docker Containers for Language Model Development
This article walks through five container setups that consistently help developers move from idea to experiment to deployment without fighting their own toolchains.
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Git for Vibe Coders
Simple Git, zero overwhelm, just enough to stop Claude from accidently deleting your code and database.
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Top 7 Open Source AI Coding Models You Are Missing Out On
Stop sending your code to OpenAI or Anthropic. Run these 7 top-tier open-source coding models locally for privacy, control, and zero API costs.
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How Data Engineering Can Power Manufacturing Industry Transformation
Turning scattered information across production-line machines and systems into meaningful insights that help teams drive efficiency and competitiveness without increasing overhead costs.
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Top SQL Patterns from FAANG Data Science Interviews (with Code)
Here are the top 5 SQL patterns tested in FAANG data science interviews.
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on November 20, 2025 in SQL
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Data Cleaning at the Command Line for Beginner Data Scientists
Data cleaning doesn’t always require Python or Excel. Learn how simple command-line tools can help you clean datasets faster and more efficiently.
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3 Unexpected Uses for NotebookLM
Check out three use cases for NotebookLM that go beyond the expected functionality of generating FAQs, study guides, or basic summaries.
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Unlock Business Value: Build a Data & Analytics Strategy That Delivers
In today’s data-saturated world, simply being “data-driven” isn’t enough. The most successful organizations are those that translate data, analytics, and AI into measurable business outcomes—creating real value for customers and shareholders alike.
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An Introduction to Zapier Automations for Data Scientists
Zapier Automations connect your favorite tools and services so that routine tasks don't eat into your day.
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How to Write Readable Python Functions Even If You’re a Beginner
Writing readable Python functions doesn’t have to be difficult. This guide shows simple beginner-friendly techniques to make your code clear, consistent, and easy for others to understand.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on November 19, 2025 in Python
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Decoding Agentic AI: The Rise of Autonomous Systems
This infographic illustrates what sets these agents apart, how they operate, and why they represent a foundational leap for AI.
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The 5 FREE Must-Read Books for Every Data Scientist
Want to level up your data skills? Check out these 5 free books that explain data science clearly and practically.
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A 5-Step Guide to Tackling (Almost) Any Data Science Project
A structured approach can make any data science project easier to handle. This guide breaks it down into five practical steps to take you from problem definition to results.
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Build or Buy Your Cybersecurity? Weighing the Pros and Cons (Sponsored)
The new million-dollar question for cybersecurity doesn’t have anything to do with fending off the latest type of attack or adopting yet another AI-powered tool.
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7 Steps to Build a Simple RAG System from Scratch
This step-by-step tutorial walks you through building your own RAG system.
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5 Fun NLP Projects for Absolute Beginners
Hands-on projects to help beginners understand how machines read, understand, generate, and translate human language.
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Building AI Automations with Google Opal
Google Opal is a no-code, experimental tool from Google Labs. It is designed to enable users to build and share AI-powered micro-applications using natural language.
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