Showing results for "daniel vaughan"
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Agentic Coding with OpenAI Codex CLI
Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation
2026
EN
Comprehensive guide to Codex CLI: prompting, AGENTS.md, MCP, hooks, skills, sub-agents, orchestration, CI/CD, security, and enterprise deployment, with exercisesKey FeaturesMove from first principles to production workflows and team-scale agentic practice.Apply proven patterns for orchestration, code review, migration, testing, and CI/CD delivery.Harden agent sessions with approval modes, kernel-level sandboxing, and security practices.
The Fair Wage Solution
Unlocking Sustainable Development
2025
EN
Accessible
This essential book explores in depth the topic of income as a key driver of sustainable development. Revisiting his innovative Fair Wage approach, Daniel Vaughan-Whitehead examines the critical dimensions that define equitable wages and showcases fair wage achievements in brand supply chains. Thousands of companies have already implemented this approach, benefitting more than four million workers around the world.Vaughan-Whitehead shows how the Fair Wage concept has become a recog...
Cloud Native Development with Google Cloud
Building Applications at Speed and Scale
2023
EN
Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate build and testing, and a citadel to operate applications at scale securely.Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Clo...
Data Science: The Hard Parts
Techniques for Excelling at Data Science
2023
EN
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one.Taken as a whole, the lesso...
2019
EN
Accessible
The information which geologists derive from the evidences of organic remains does not wholly satisfy the keen appetite of educated minds for a knowledge of the mysteries of Nature and the revolutions of past times. The relics disentombed from our globe give no clew to its origin; and they throw but little light on the great physical events which transpired before life appeared on its surface. There are, however, reasonable hopes that the records which are wanting on this earth may be supp...
Analytical Skills for AI and Data Science
Building Skills for an AI-Driven Enterprise
2020
EN
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inpu...





