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Getting Started with the Claude API in Python
In this article, you'll learn how to use the Claude API in Python, make your first request, and handle responses with the official SDK.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on July 3, 2026 in Python
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10 Agentic AI Frameworks You Should Know in 2026
LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, Mastra, and more. If you're building AI agents in 2026, these are the frameworks worth paying attention to before starting your next project.
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Humanity’s Last Exam is a Distraction
This article takes a gentle dive into the ultimate AI systems evaluation benchmark, outlining why it was created, curating diverse opinions from groups of experts in the field about it, and wrapping up with a summary of the most widely accepted verdict.
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5 AI Coding Platforms to Build Apps Without the Headache
Explore the best AI coding platforms, no-code app builders, and vibe coding tools that help beginners and developers build, test, and deploy full-stack apps using simple prompts.
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Building Local AI Systems: Qwen3.6 + MCPs
Define a tool once as an MCP server and any MCP-compatible client, any model, any framework, can discover and call it with zero custom integration code per model.
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7 Real-World Python Projects You Can Build in 2026 (With Guides)
Check out this practical list of Python projects covering AI automation, machine learning, APIs, dashboards, data analysis, and portfolio-ready apps, with guides, demos, repositories, and datasets.
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Your RAG Pipeline Is Probably Useless. Here’s a Better Alternative
Learn what to reach for when retrieval-augmented generation fails in production.
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5 AI Coding Subscription Plans That Give Developers the Best Value
This is an opinion-based look at the AI coding subscription plans that I think give developers the best value for their money, from token and usage-based plans to full coding-agent ecosystems.
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Fine-tuning Language Models on Apple Silicon with MLX
Fine-tune open language models locally on your Mac using MLX. No cloud GPUs or costs required.
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5 Agentic Workflows to Automate Your Data Science Pipeline
This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.
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Using Gemini to Create Google Sheets
In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.
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5 Open Source Omni AI Models That Handle Text, Images, Audio, and Video
Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.
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The Roadmap to Becoming an AI Architect in 2026
Follow this step-by-step path through the design, decision-making, and leadership skills that move an engineer into the architect's seat.
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Top 7 Coding Models You Can Run Locally in 2026
Explore the best local coding models for private AI coding, fast GGUF inference, agentic workflows, multimodal development, and running powerful open models on your own GPU.
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The Math Skills Every Aspiring Data Scientist Needs to Master Before Writing a Single Line of Code
This article breaks down each essential math discipline, explains its role in data science, and maps out an efficient learning path you can start today.
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Here’s Why WebMCP is Exciting
WebMCP is an open web standard that lets websites expose structured, callable tools directly to browser-based agents. Find out what makes it exciting.
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5 Essential Approaches to Robust Outlier Detection
Outliers can easily ruin the performance of any predictive analysis models you build: robustly detecting and handling them is crucial in any data project. This article lists and compares five essential approaches for detecting them.
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ChatLLM by Abacus AI Review: A Multi-Model AI Workspace Built for Daily Work
An in-depth review of ChatLLM by Abacus AI, covering supported AI models, AI agents, coding tools, integrations, pricing, usage limits, and how it compares to ChatGPT.
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Here’s What Everyone Gets Wrong About Agentic AI
Agentic AI is not failing because the technology is bad. It is failing because of five specific misconceptions that teams carry into their first deployments and each one is correctable.
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3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis
In this article, we will walk through three essential NLTK tricks to elevate your text preprocessing: preserving phrase integrity with the MWETokenizer, context-aware lemmatization with POS mapping, and statistical collocation extraction using association measures.
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Loss Function Explained For Noobs (How Models Know They Are Wrong)
This is a simple guide to understanding loss functions in machine learning and how models learn from their mistakes.
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Practical SQL Tricks Every Data Scientist Should Know
In this article, we’ll cover essential SQL patterns and workflows that make everyday data analysis cleaner, faster, and easier to scale.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on June 19, 2026 in SQL
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Python Dictionary Tips and Tricks You Should Always Remember
Master these tips, and your dictionary code will become shorter, safer, and easier to read.
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Advanced Join Techniques: LATERAL Joins, Semi Joins, Anti Joins
LATERAL joins let a subquery in the FROM clause reference columns from earlier in the same FROM clause. Semi joins return rows where a match exists in another table, without duplicating those rows. Anti joins return rows where no match exists.
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on June 18, 2026 in SQL
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How (and Why) I Built an AI Assistant
This article is an honest account of the process on why I built a custom AI assistant instead of just paying for one, what the architecture looks like, the actual code, what broke, and what it does now that I genuinely rely on.
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5 Fun Projects Using OpenAI Codex
Learn Codex by building small and practical projects step by step.
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The Roadmap to Becoming an LLM Engineer in 2026
A step-by-step path through the skills that turn a machine learning practitioner into someone who ships large language model applications.
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Stop Writing Loops in Pandas: 7 Faster Alternatives to Try
In this article, you will learn how to replace pandas loops with 7 faster methods for optimized data processing.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on June 16, 2026 in Python
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Building Time-Series Machine Learning Models with sktime in Python
In this article, we’ll build time-series machine learning models in Python using sktime and explore its core data structures for forecasting workflows.
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3 Pandas Tricks for Data Cleaning & Preparation
In this article, we will walk through three essential Pandas tricks to clean and prepare your data efficiently: declarative method chaining, memory and speed optimization via categoricals and vectorized string accessors, and group-aware imputation using .transform().
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Pairing Claude Code with Local Models
Local models in 2026 are good enough. For the tasks Claude Code handles daily: code completion, refactoring, debugging, codebase explanation; a well-chosen quantized model running locally covers the vast majority of real use cases at zero per-token cost and with no rate limits.
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3 NumPy Tricks for Numerical Performance
In this article, we will cover three essential NumPy tricks to optimize your code: vectorization and broadcasting, in-place operations, and leveraging memory views instead of copies.
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Feature Stores from Scratch: A Minimal Working Implementation
Build the five components every feature store needs, then see where AI changes the design.
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7 Best Ways to Get Funding for Your Startup Idea
Need money for your startup? These 7 funding options can help you get started, grow faster, and avoid common fundraising mistakes.
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Local Agentic Programming on the Cheap: Claude Code + Ollama + Gemma4
This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.
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5 Useful Python Scripts to Automate Boring PDF Tasks
PDFs are used everywhere, and these five Python scripts help you automate the most common PDF tasks.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on June 10, 2026 in Python
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Best Free Image Generators on Hugging Face Right Now!
This article cuts through the 90,000 options to the seven models worth your time in 2026.
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10 GitHub Repositories for Web Development in Python
Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces.
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Why Do LLMs Corrupt Your Documents When You Delegate?
Analyzing several reasons why structural content decay may happen when asking LLMs to perform complex document editing for us.
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Anthropic’s Complete Guide to Claude Skills Building
This guide covers the complete picture: what skills are technically, how to plan and design them, the exact file structure and naming rules, how to write instructions that Claude follows reliably, a complete working skill built from scratch, how to test and distribute, and what to do when things go wrong.
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5 Must-Know Python Concepts for AI Engineers
In this article, we will explore five critical Python concepts that every AI engineer must know to build scalable, secure, and robust systems.
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3 SpaCy Tricks for Efficient Text Processing & Entity Recognition
In this article, we will explore three essential spaCy tricks that every developer should have in their toolkit to maximize processing speed and customize entity recognition.
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What the Agentic Era Means for Data Science
Learn how AI agents are reshaping data science workflows and which skills practitioners need in 2026.
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7 Steps to Mastering Time Series Analysis with Python
This article breaks down 7 key steps to help you analyze and forecast time series data with Python.
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How to Write to Files in Python: A Beginner’s Guide
Learn how to write, append, and save text, CSV, and JSON files in Python using native file handling tools that work out of the box.
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5 Fun Papers That Explain LLMs Clearly
Want to understand LLMs better? Start with these five foundational papers that explain how they work.
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A Gentle Primer on LLM Explainability
This article discusses LLM explainability and outlines the advances, trends, and ongoing developments in this important field of study.
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10 GitHub Repositories for Modern Database Systems and Tools
Explore 10 top open-source GitHub repositories for modern databases, analytics, SQL, caching, monitoring, replication, PostgreSQL, SQLite, and AI agent memory.
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Mocking a Year of IoT Sensor Time Series Data with Mimesis
In this guide, you will learn the process of generating a year's worth of daily temperature readings, mimicking a seasonal curve that looks like real — all together with device-level metadata, and ready to build based on open-source frameworks.
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5 Must-Know Python Concepts for Data Scientists
In this article, we will dive deep into five must-know Python concepts that will help you transition from writing clunky, slow spaghetti code to constructing lightning-fast, production-grade, and beautifully functional data pipelines.
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Practical NLP in the Browser with Transformers.js
This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformers.js's pipeline() API.
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The ‘Entry-Level’ Gatekeeper: Auditing Job Descriptions with Textstat
This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeeping language" in job descriptions before publishing them.
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Tweaking Local Language Model Settings with Ollama
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.
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7 Real World AI Projects to Build in 2026 (with Guides)
Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice processing, chart digitization, and personalized exercise training.
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Pandas GroupBy Explained With Examples
Learn how to use Pandas GroupBy to summarize, compare, and analyze grouped data with simple, practical examples.
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5 Scipy.stats Tricks for Simulating ‘What If’ Scenarios
In this article, we will take a look under the hood of scipy.stats, exploring five essential tricks to design high-performance, rigorous simulations using only NumPy and SciPy.
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Visual Debugging Tools for Machine Learning Workflows
In this article, we cover three topics: what to visualize during training, the tools that provide those visualizations, and the methods to capture model computations directly using hooks and breakpoints.
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Top 7 Python Libraries for Large-Scale Data Processing
This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows.
By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on May 26, 2026 in Python
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Auditing Model Bias with Balanced Datasets with Mimesis
Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.
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5 More Must-Know Python Concepts
Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit.
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Easy Agentic Tool Calling with Gemma 4
In this tutorial, we will give Gemma 4 two new tools and watch the model decide, on its own, when to look around and when to compute.
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System Design Interview Questions: A Handy Collection
Ace system design interviews with 10 GitHub repositories packed with fundamentals, proven patterns, and real questions to help you design scalable systems with confidence.
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Best Small Language Models on Hugging Face Right Now!
Take a curated look at the best small language models currently available on Hugging Face, what each one is actually good at, the benchmark numbers that back those claims up, and the code to get started with each one.
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Anonymizing Production Data for Data Science with Mimesis
Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.
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SQL Window Functions Beyond Basics: Solving Real Business Problems
You know window functions, but do you know how to use them to solve business problems? You will after you read this article.
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on May 20, 2026 in SQL
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10 GitHub Repositories to Master Quant Trading
From your first backtest to a real trading system, here are GitHub repos that can seriously level up your quant trading skills fast.
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How to Get the Most Out of Claude Cowork
Cowork is an autonomous agent that lives inside the Claude Desktop app, which has direct access to a folder on your computer, and can plan, execute, and deliver real work.
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Top 10 Python Libraries for Data Engineering in 2026
Want to level up your data engineering toolkit? Here are some Python libraries that'll make your pipelines faster, cleaner, and easier to maintain.
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The Hidden Skill Gap: Why Knowing SQL + Python Isn’t Enough Anymore
This article is about the gap between what candidates prepare for and what companies actually need right now.
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5 Cool Things I Did with Local Language Models
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
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TurboQuant: Is the Compression and Performance Worth the Hype?
How does it boost efficiency without losing accuracy? Is it really worth the hype?
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5 Must-Know Python Concepts
In this article, we will explore five fundamental concepts that every Python developer should have in their toolkit.
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Time-Series Feature Engineering with Python Itertools
Learn how to use Python itertools to build efficient and scalable time series features.
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5 Small Language Models for Agentic Tool Calling
Here are 5 small language models that hare one important trait: they all support structured tool calling in a compact, open-weight package.
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