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KDnuggets
02.08.2025
This tutorial explores ten practical and surprising applications of the Python time module.
Debugging LLMs is important because their workflows are complex and involve multiple parts like chains, prompts, APIs, tools, retrievers, and more.
01.08.2025
Discover the leading CI/CD tools that are transforming how teams automate integration and deployment.
Whether you’re looking for simple point-and-click solutions or hardcore APIs for scraping the entire web, this list offers something for everyone.
Discover the best proxy provider that fits your workflow, goals, and budget.
30.07.2025
This tutorial will show you how to analyze your Excel spreadsheets with NotebookLM.
This article aims to bring the conversation about LLMs back down to earth, exploring not only the wide array of use cases where LLMs can add real value, but also the limitations they face.
We'll show you how to harness the power of BigQuery's machine learning capabilities to build your own AI-driven dress search using these incredible image embeddings.
29.07.2025
In this article, we will explore why LiteLLM is beneficial for building LLM applications.
New to generative AI? These simple, fun, and practical projects are the best place to start.
Learn the steps for setting up the machine learning pipeline in the top cloud provider.
Get up to speed with the 7 most essential machine learning algorithms. Perfect for beginners and busy devs who want a quick, clear overview.
How can you master Python for free? Here are ten online courses we recommend.
In this article, I will take you through how to build a basic dashboard using Google Sheets.
Forget what you knew — these underrated data science skills will define who wins for the rest of 2025.
Loops are easy to write, but vectorized operations are the secret to writing efficient and elegant Python code.
From in-spreadsheet machine learning to terabyte sized DataFrames, learn how to stop fighting your tools and focus on solving problems.
Learn how to turn a simple idea into a full-fledged project for your portfolio.
16.07.2025
Check out this practical guide to designing scalable, reliable, and insight-driven data infrastructure.
Whether you are a beginner eager to build your first project, or an experienced coder wanting to expand your portfolio, GitHub is a goldmine of real-world Python projects to learn from.
This article provides a clear, practical guide to help you choose a niche, find clients, and scale your business effectively. Whether you're just starting out or looking to grow, you'll find actionable steps to succeed.
15.07.2025
Think you're too new to optimize Python? Think again. These quick tips make optimization easy and effective from the start.
If you're new to data storytelling, this article will help you get started with PyNarrative.
Check out these tools for basic math, statistical experiments, advanced statistics, data science, visualizations, and machine learning.
12.07.2025
A practical guide for developers and data practitioners to build expertise in generative AI systems, from foundation models to production deployment.
This article looks at 10 useful — and perhaps surprising — things you can accomplish with Python's datetime module.
11.07.2025
Learn how to eliminate manual SQL reporting with an n8n workflow that automatically queries your database, formats professional HTML reports, and regularly emails them to stakeholders.
Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.
10.07.2025
You have a non-tech background? Sure, you can transition into AI. Here are five practical ways of doing it.
AirTable combines the best of spreadsheets and relational database management systems: discover in this article how to get started with this plataform for data analysis.
09.07.2025
Want to understand how ETL really works? Start here with a simple Python pipeline that covers the essentials.
Python’s automation tools that are powering everything from website testing and browser automation to streamlining desktop workflows and automating Python project testing.
Learn how to master vibe coding in these 7 steps, and transform AI code generation into a professional superpower.
Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark.
08.07.2025
A complete beginner’s roadmap to understanding and building with large language models explained simply and with hands-on resources.
See how DuckDB outperforms Pandas in real world tasks like filtering, cohort analysis and revenue modelling all within your notebook.
Learn how to build your own agentic AI application with free tutorials, guides, courses, projects, example code, research papers, and more.
05.07.2025
Stop leaving your models on your laptop. Serve them to the world with this quick and powerful setup.
The most popular method for feature reduction and data compression, gently explained via implementation with Scikit-learn in Python.
04.07.2025
Let's take a closer look at Google Colab's new AI features, and find out how you can use them to increase your daily data workflow productivity.