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Integrating Rust and Python for Data Science
Python remains at the forefront data science, it is still very popular and useful till date. But on the other hand strengthens the foundation underneath. It becomes necessary where performance, memory control, and predictability become important.
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Top 5 Self Hosting Platform Alternative to Vercel, Heroku & Netlify
The best self hosting platforms that help developers deploy, scale, and turn their projects into production ready applications while avoiding the complexity of becoming a full time DevOps engineer.
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Open Notebook: A True Open Source Private NotebookLM Alternative?
Open Notebook is an open-source, AI-powered platform designed to help users take, organize, and interact with notes while keeping full control over their data.
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5 Breakthroughs in Graph Neural Networks to Watch in 2026
This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead: from integration with LLMs to interdisciplinary scientific discoveries.
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7 Statistical Concepts Every Data Scientist Should Master (and Why)
Understanding data starts with statistics. These 7 statistics concepts give you the foundation to analyze and interpret with confidence.
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Navigating AI Entrepreneurship: Insights From The Application Layer
Through the lens of a serial entrepreneur, this article explores how the AI revolution is shifting from infrastructure to the application layer, where the greatest opportunities lie in solving specialized, data-heavy industry problems rather than perfecting raw technology.
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5 Alternatives to Google Colab for Long-Running Tasks
These five options make long-running jobs easier, faster, and less frustrating than Colab.
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AI Writes Python Code, But Maintaining It Is Still Your Job
AI can whip up Python code in no time. The challenge, however, is keeping the code clean, readable, and maintainable.
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We Tuned 4 Classifiers on the Same Dataset: None Actually Improved
We tuned four classifiers on student performance data with proper nested cross-validation and statistical testing. The result? Tuning changed nothing.
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10 GitHub Repositories to Ace Any Tech Interview
The most trusted GitHub repositories to help you master coding interviews, system design, backend engineering, scalability, data structures and algorithms, and machine learning interviews with confidence.
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When Should SMB Data Teams Bring in Professional Security Expertise? (Sponsored)
Cyber threats aren’t slowing down, and data teams are now some of the most attractive targets in the small business world.
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3 Hyperparameter Tuning Techniques That Go Beyond Grid Search
Uncover how advanced hyperparameter search methods in machine learning work, and why they can find optimal model configurations faster.
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5 Useful DIY Python Functions for JSON Parsing and Processing
Stop wrestling with messy JSON. These five Python functions help you parse, validate, and transform JSON data efficiently.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on January 19, 2026 in Python
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10 Essential Docker Concepts Explained in Under 10 Minutes
Images, containers, volumes, and networks... Docker terms often sound complex to beginners. This quick guide explains Docker essentials to get started.
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Top 5 Open-Source AI Model API Providers
Large open-source language models are now widely accessible, and this article compares leading AI API providers on performance, pricing, latency, and real-world reliability to help you choose the right option.
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Google Antigravity: AI-First Development with This New IDE
Google Antigravity marks the beginning of the "agent-first" era, It isn't just a Copilot, it’s a platform where you stop being the typist and start being the architect.
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7 AI Automation Tools for Streamlined Workflows
This list focuses on tools that streamline real workflows across data, operations, and content, not flashy demos or brittle bots. Each one earns its place by reducing manual effort while keeping humans in the loop where it actually matters.
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Avoiding Overfitting, Class Imbalance, & Feature Scaling Issues: The Machine Learning Practitioner’s Notebook
Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues.
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5 Code Sandboxes for Your AI Agents
A quick guide to the best code sandboxes for AI agents, so your LLM can build, test, and debug safely without touching your production infrastructure.
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Delegating Without Chaos: Your Business Can’t Grow Until You Let Go (Sponsored)
Delegating without chaos is the difference between a business that plateaus and one that scales.
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The Complete Guide to Logging for Python Developers
Stop using print statements and start logging like a pro. This guide shows Python developers how to log smarter and debug faster.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on January 13, 2026 in Python
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CSV vs. Parquet vs. Arrow: Storage Formats Explained
Same data, different formats, very different performance.
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5 Useful Python Scripts for Effective Feature Engineering
Feature engineering doesn’t have to be complex. These 5 Python scripts help you create meaningful features that improve model performance.
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We Tried 5 Missing Data Imputation Methods: The Simplest Method Won (Sort Of)
We tested five imputation methods with proper cross-validation and statistical testing. Mean imputation won for prediction but destroyed feature relationships.
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How to Self-Host n8n on Docker in 5 Simple Steps
This tutorial will guide you through the complete process of self-hosting n8n on Docker in just 5 simple steps, with detailed explanations and code samples, regardless of your technical background.
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7 Must-Have Tools for Your Coding Workflow
My go-to tech stack that helps me code faster, stay organized, and ship with confidence.
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5 Useful Python Scripts to Automate Data Cleaning
Tired of repetitive data cleaning tasks? This article covers five Python scripts that handle common data cleaning tasks efficiently and reliably.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on January 9, 2026 in Python
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Powerful Local AI Automations with n8n, MCP and Ollama
The ultimate goal is to run these automations on a single workstation or small server, replacing fragile scripts and expensive API-based systems.
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10 Most Popular GitHub Repositories for Learning AI
The most popular GitHub repositories to help you learn AI, from fundamentals and math to LLMs, agents, computer vision, and real-world production systems.
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Vibe Code Reality Check: What You Can Actually Build with Only AI
This is an "expectations vs reality" approach to demystify, based on research of real success and failure stories, what are the capabilities and limits of vibe coding.
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Data Scientist vs AI Engineer: Which Career Should You Choose in 2026?
Although data science and AI engineering share tools and terminology, they are not interchangeable careers. This article explains how the work, goals, and impact of each role differ so you can choose the career path that fits you.
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Top 7 n8n Workflow Templates for Data Science
A list of ready to use n8n workflow templates that help data scientists quickly analyze data, extract and transform it, and build reliable knowledge bases.
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What To Look For In A Cloud Services Provider (Sponsored)
Choosing a cloud services provider can feel a lot like dating: every vendor promises reliability, security, and support, but only a few truly live up to it. The wrong choice can lead to costly downtime, security headaches, or performance bottlenecks that ripple across your business.
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The 10 AI Developments That Defined 2025
In this article, we retroactively analyze what I would consider the ten most consequential, broadly impactful AI storylines of 2025, and gain insight into where the field is going in 2026.
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The KDnuggets Gradio Crash Course
Build ML web apps in minutes with Gradio's Python framework. Create interactive demos for models with text, image, or audio inputs with no frontend skills needed. Deploy and share instantly.
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Top 7 Python ETL Tools for Data Engineering
Building data pipelines? These Python ETL tools will make your life easier.
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I Asked ChatGPT, Claude and DeepSeek to Build Tetris
Which of these state-of-the-art models writes the best code?
By Natassha Selvaraj, KDnuggets Technical Content Specialist At-Large on January 5, 2026 in
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Context Engineering Explained in 3 Levels of Difficulty
Long-running LLM applications degrade when context is unmanaged. Context engineering turns the context window into a deliberate, optimized resource. Learn more in this article.
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6 Docker Tricks to Simplify Your Data Science Reproducibility
Read these 6 tricks for treating your Docker container like a reproducible artifact, not a disposable wrapper.
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10 Lesser-Known Python Libraries Every Data Scientist Should Be Using in 2026
Want to level up your data science toolkit? Here are some Python libraries that'll make your work easier.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on December 31, 2025 in Python
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7 High Paying Side Hustles for Students
Make extra money between classes with beginner-friendly freelance platforms that fit your lifestyle.
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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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