Data Science Tutorials

A practical guide covering the structure, rules, and real-world examples developers need to write clear, consistent Git commit messages that improve debugging, speed up code reviews, and turn Git history into searchable documentation.

Learn the mathematical foundations of single-event probabilities, explore worked examples from classical statistics to real-world scenarios, and discover applications across data science and machine learning.

Understand how Excel gridlines work, when they appear, and how they are different from borders. Learn to create clear worksheets on screen and in print.

Upgrade to Transformers v5. A practical guide to the unified Rust backend, API changes, and side-by-side v4 vs v5 migration patterns for encoding and chat.

Learn how to automate AWS infrastructure with Terraform. Build EC2 instances with SSM agents, manage state in S3, and scale using modules.

Learn how to clear Excel cache on Windows and Mac to solve common problems like lag and sync errors, and follow best practices to keep Excel running smoothly.

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.