Our latest articles about data science, machine learning, data analysis and programming. Enjoy!
I analyzed 88,975 Hacker News job posts from 2012 to 2026. The board shrank, remote work peaked, pay became clearer, and senior roles took over.
789 GitHub incidents from 2022 to 2026. Reported incidents held flat for three years, then more than doubled. The longest incidents got much longer.
Explore GitHub incident history from 2022–2026 in a GitHub-style activity calendar, then build your own interactive outage dashboard with Python and Mercury.
Meet three new Mercury widgets for interactive Python data apps: ActivityCalendar, Sankey and Funnel, demonstrated with real GitHub and Hacker News data.
XGBoost multi-output regression explained: multi_output_tree vs one_output_per_tree, working code, and a benchmark on 2.7M rows of market data.
A practical, no-hype guide to running an LLM on your own machine — how to pick a model and a runtime, what hardware you need, and what local LLMs are actually good for, from coding to private data analysis.
Learn how to train a Machine Learning model with MLJAR AutoML, automatically generate a Web App, and publish it online for single and batch predictions.
Learn 10 practical ways to make predictions with a trained machine learning model, including batch CSV scoring, database predictions, scheduled jobs, REST APIs, streaming, edge deployment, web apps, spreadsheets, and Slack bots.
You will learn why ipynb notebook format is perfect for saving conversations with AI data analyst.
Discover the best AI courses for data analysis in 2026. Learn how to use ChatGPT, Gemini, Copilot, Python, SQL, Excel, and spreadsheets for faster data analysis.
