Data Science Tutorials

A guide to Project Genie and Genie 3, Google’s interactive foundation world model, with hands-on examples.

Run GLM-5, the best open-weight AI model, on a single GPU with llama.cpp, and connect it to Aider to turn it into a powerful local coding agent.

Discover Kling 3.0 and its key features. Learn how to generate videos, create your own characters, and craft complex multi-shot scenes with native audio.

Master the inner workings of LSTM networks, the foundation for modern LLMs. Explore gating mechanisms, gradients, and build a sentiment classifier with PyTorch.

Learn how Parquet's columnar design improves compression, speeds up queries, and when to choose it over CSV.

Help your AI agent become more social by joining Moltbook, with this step-by-step visual guide to getting it set up, verified, and posting safely.

A comprehensive walkthrough of building, deploying, and optimizing Streamlit apps directly within Snowflake. Leverage the popular open-source Python framework through its integration with a powerful cloud platform.

Learn what a monorepo is and how it differs from polyrepo approaches. Discover real-world benefits, common challenges, and the tools and strategies that make monorepos scalable.

Discover the hidden constraint behind every statistical test and learn to interpret your results with real confidence.

A practical guide to running your own Bitwarden password vault with Docker, from initial server setup through configuration, updates, and common troubleshooting.

Podman Compose is a Python-based tool that reads Docker Compose files and runs multi-container applications using Podman's rootless, daemonless architecture for security-focused development environments.

Learn how to build a fully local AI data analyst using OpenClaw and Ollama that orchestrates multi-step workflows, analyzes datasets, and generates visual reports, without sending your data to the cloud.