Data Science Tutorials

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

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.

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.

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.

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.

A complete guide to Claude Code plugins. Discover how to install extensions, choose between Skills and MCPs, and build a custom session logger from scratch.

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.