Books

Agile transformations often fail not because frameworks are wrong, but because teams lack the right foundation. This practical workbook gives Scrum, Kanban, and Agile teams the tools they need to succeed from day one. Inside, you’ll find fill-in-the-blank policy templates, editable checklists, and guided team exercises — all designed to build clarity, alignment, and accountability. Whether you’re an Agile Coach, Scrum Master, or Product Owner, this playbook helps you establish strong practices quickly, without the guesswork. Instant, actionable, and easy to use.

Poemas escritos com amor ao longo de anos do Pastor Silas Santana

From the files provided, here is a teaser for The Unseen Orchard:In a world where memories linger like ghosts and feelings have a sound, Lyra Evans is a girl who can hear them all. Her gift, a quiet hum inside her fingertips, reveals a hidden world beneath the surface of things. But when a creeping silence—a shadow that drains all color and warmth—steals her brother's voice, Lyra's world crumbles.To save him, she must journey into the magical realm of The Unseen Orchard, a place where forgotten voices are said to be found. Joined by a band of unlikely companions, each carrying a piece of her own despair and hope, Lyra must confront the very darkness that threatens to consume everything she loves.The Unseen Orchard is a story of grief, courage, and the powerful magic of connection, proving that even in the deepest silence, a single, brave voice can change everything.

Bad data breaks good code. You’ve written Python that works perfectly in testing, only to watch it fail in production because of a malformed API request, a messy CSV, or a missing config value. That’s the hidden cost of Python’s flexibility: without runtime validation, you’re always one bad input away from a crash. Enter Pydantic. This book takes you from the foundations of data validation to real-world applications in APIs, data pipelines, configurations, and machine learning workflows. Along the way, you’ll explore practical techniques, advanced features, and alternatives like Marshmallow, attrs, and dataclasses, so you’ll always know which tool is right for the job. If you’re a Python developer, data engineer, or FastAPI user, this is your roadmap to writing safer, cleaner, and more reliable code.