Data Science Tutorials

Learn how to run GLM-4.7-Flash on an RTX 3090 for fast local inference and integrating with OpenCode to build a fully local automated AI coding agent.

Learn how to write to files in Python using built-in tools, common patterns, and best practices for real-world applications.

Learn how to deploy autonomous AI agents directly from your browser using AgentGPT, and understand when you might want to look elsewhere.

Learn how to fine-tune FunctionGemma in under 10 minutes using Kaggle’s free GPUs, from dataset preparation and baseline evaluation to training and post-fine-tuning validation.

Learn ensemble learning with Python. This hands-on tutorial covers bagging vs boosting, Random Forest, and XGBoost with code examples on a real dataset.

Master SQL data types in MySQL, PostgreSQL & SQL Server. Learn to choose the right numeric, text, and date formats to optimize performance and data integrity.

Learn how hook-based automation works and get started using Claude Code hooks to automate coding tasks like testing, formatting, and receiving notifications.

Learn to automate image editing with Python. Use Qwen-Image-Layered to decompose images into editable RGBA layers and rebuild them in a Streamlit app.

Learn about how to create MongoDB indexes and some tips and tricks to get the best performance out of them.

Docker mounts connect containers to persistent storage through three types - volumes for production data, bind mounts for development workflows, and tmpfs for temporary files.

Understand how SQL ON DELETE RESTRICT protects data integrity. Learn how it blocks unsafe deletes and when to choose it over CASCADE or SET NULL rules.

Understand how SQL ON DELETE CASCADE automates dependent deletes in SQL, keeps tables consistent, and helps prevent accidental data loss.