Git

Stop memorizing Git commands and learn how Git actually works. Git Mastery: From First Commit to Expert covers everything from version control basics to advanced workflows, debugging and Git internals with practical examples that help you collaborate with confidence and solve Git problems on your own.

A senior level Android book about what actually breaks in production: Compose, performance, architecture, build systems, CI, and scale. Less “hello world”, more “keep it alive”.

Aprender a trabajar con Git y GitHub es una habilidad esencial como programador. Esta es una guía de estudio teórico-práctica paso a paso y desde cero más un curso de 5 horas en vídeo 100% gratis. 45 lecciones, decenas de comandos y casos prácticos reunidos en un único lugar para comenzar a usar rápidamente Git y GitHub de manera profesional.

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

Take control of your development stack from the ground up. This book shows you how to build and run your own Git hosting, CI/CD and engineering platform, from a single server to infrastructure built for thousands. Learn how the pieces fit together, why key decisions matter and where the trade-offs really are.

AI agents can produce code faster than teams can safely review and integrate it. This practical playbook shows how to use Git, branches, worktrees, prompts, safeguards, and recovery procedures to coordinate engineers, agents, and subagents without losing control of your application.

Les agents IA produisent désormais du code plus vite que les équipes ne peuvent le contrôler. Ce guide opérationnel explique comment utiliser Git pour isoler les missions, coordonner agents et sous-agents, sécuriser l’intégration et récupérer un projet sans perdre son travail ni son historique.

Ready to move from theoretical equations to building real-world nuclear simulators? Discover the complete roadmap to translating complex neutron diffusion equations and reactor kinetics into efficient, professional Python code using NumPy and Numba. This book bridges the gap between rigorous nuclear physics and high-performance computational modeling to elevate your engineering skills.

AI coding agents can move faster than Git’s staging-and-commit workflow.Juju-chu! shows how Jujutsu🐦‍⬛ gives you automatic commits, reliable undo, and a safer way to reshape messy AI-generated changes—while staying compatible with Git and GitHub. For developers who already use Git and want a calmer AI workflow.

Go from an empty cluster to a self-deploying GitOps pipeline, doing every step yourself: Applications, sync policy, hooks, RBAC, Helm, ApplicationSets, and a setup that ships every branch on push. You finish with a pipeline you can explain line by line, not a demo you watched run.

Modern cloud systems require automation, consistency, and reliability. GitOps With ArgoCD shows how to manage Kubernetes applications using Git as the single source of truth while enabling automated deployments, policy enforcement, and scalable multi-cluster operations.Learn how DevOps teams use ArgoCD to simplify continuous delivery, improve infrastructure visibility, and maintain secure and reproducible environments.

Build a real-world digital banking platform from scratch using .NET 10, Clean Architecture, DDD, Angular 21 (Nx Monorepo), Docker, PostgreSQL, and GitHub Actions CI/CD. This hands-on, full-stack guide shows you how fintech systems are built in modern software teams—covering microservices, secure APIs, authentication, event-driven architecture, automated testing, containerization, and more. No shortcuts, no toy examples. Just real engineering.

Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your data science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your data science projects into scalable, maintainable, and collaborative solutions.

Take control of Kubernetes with GitOps and Argo CD. This book shows you how to deploy, secure, and scale your applications step by step — from the basics to advanced patterns.