KDnuggets

Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.

Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit.

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.

Ace system design interviews with 10 GitHub repositories packed with fundamentals, proven patterns, and real questions to help you design scalable systems with confidence.

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.

Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.

You know window functions, but do you know how to use them to solve business problems? You will after you read this article.

From your first backtest to a real trading system, here are GitHub repos that can seriously level up your quant trading skills fast.

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.

Want to level up your data engineering toolkit? Here are some Python libraries that'll make your pipelines faster, cleaner, and easier to maintain.

This article is about the gap between what candidates prepare for and what companies actually need right now.

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.

How does it boost efficiency without losing accuracy? Is it really worth the hype?

In this article, we will explore five fundamental concepts that every Python developer should have in their toolkit.

Learn how to use Python itertools to build efficient and scalable time series features.

Here are 5 small language models that hare one important trait: they all support structured tool calling in a compact, open-weight package.

Discover how AI agents will revolutionize data science in 2026, and learn why they won't replace you but will make you a faster, smarter analyst.

Learn how modern infrastructure works through self-hosting: containers, reverse proxies, monitoring, backups, networking, and systems operations.

In this article, we explore three real data problems using real questions where Polars outpaces Pandas on every metric.

Time series data is common across finance, operations, engineering, and research. These five Python scripts cover the analysis tasks that come up repeatedly.