Data Science Tutorials

Setting up llama.cpp to run the GLM-4.7 model on a single NVIDIA H100 80GB GPU, achieving up to 20 tokens per second using GPU offloading, Flash Attention, optimized context size, efficient batching, and tuned CPU threading.

Learn practical patterns for working with text files, logs, and large datasets in Python.

Learn how Excel version history helps you view, restore, and recover previous file versions without losing your current work.

Lazydocker replaces repetitive Docker CLI commands with a keyboard-driven terminal interface that shows containers, logs, and stats in real time from one screen.

Learn how to use Docker in your browser with Play with Docker. Run containers, build Dockerfiles, and use Docker Compose using this online Docker playground.

Learn how to add days to a date in Excel using simple arithmetic and functions like DATE(), EDATE(), and WORKDAY(), with practical examples and pitfalls to avoid.

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

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.

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.