Data Science Tutorials

Learn the Gemini 4 Carbon API in Python: build a function-calling agent that audits a fraud model, finds conflicting rules, and tests a policy change.

Learn how Google’s petabyte-scale NoSQL database works under the hood, from instances and tablets to row-key design.

Set up Oh My Pi, the batteries-included terminal coding agent, connect it to xAI’s Grok, and use it to plan, build, test, and refine a full Streamlit app, including what the agentic run actually cost.

Can Mistral AI's Timestral predict stock prices accurately? Learn how to run this lightweight time-series forecasting model locally with Python, test it on real stock market data, and generate AI-powered Buy, Hold, and Sell signals.

Can an AI agent reason like a scientist when the answer is hidden from it? Build a Python agent with Claude Fable 5.2 that tests competing explanations for noisy data, designs a follow-up experiment, and predicts results it has never seen, graded by separate code it can’t touch.

Use Copilot Cowork to turn one sales CSV into an Excel workbook, Word briefing, PowerPoint deck, and Outlook draft, then check the results, save the workflow as a skill, and schedule it.

What if your AI coding agent could improve itself? We tested Google's Harness^2 with OpenCode and DeepSeek on JobBench to find out whether self-improving AI agents actually perform better.

Learn how to run powerful decision models locally, explore the vLLM ecosystem, and build three practical projects using text, images, and videos.

Build a GitHub CI repair workflow with DeepSeek Superagent, then use observe mode, pytest, holdout data, and human review to check one pandas fix.

Build a Python agent with Gemini 4 Argon, function calling, and profiling, then check its patches with hidden tests, benchmarks, and API cost.

Learn how Mercury 3 uses diffusion-based generation to build an incident analysis assistant, visualize refinement states, and compare low vs. high reasoning effort.

Use Meta Muse Wonder and Olostep web API to check medical claims, explain the reasoning, and show where the evidence came from.