Books

Greenhouse gas emissions have caused considerable changes in climate, including increased surface air temperatures and rising sea levels. This e-textbook presents a series of laboratory exercises in R that teach the Earth science and statistical concepts needed for assessing climate-related risks. These exercises are intended for upper-level undergraduates, beginning graduate students, and professionals in other areas who wish to gain insight into academic climate risk analysis.

Just Enough Linux aims at getting you comfortable with some of the commands used in Linux and to hopefully help you 'get' Linux.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

Quantitative finance in C++: an inside look at the architecture of the QuantLib library.

Unit Testing has moved from fringe to mainstream, which is great. Unfortunately, developers are creating mountains of unmaintainable tests as a side effect. I've been fighting the maintenance battle pretty aggressively for years, and this book captures what I believe is the most effective way to test.

El QA Testing, al que algunas personas llaman aseguramiento de la calidad, es mucho más que buscar errores en una aplicación o sistema. Mi objetivo no es solo enseñarte técnicas o herramientas, sino también inspirarte a construir una carrera sólida y apasionante en este mundo. Porque, te hablo con el corazón, ser QA no es solo un trabajo técnico; es una oportunidad para ser parte fundamental del éxito de cualquier proyecto.

AI isn’t just for tech people—it’s a practical tool anyone can use to solve real problems. In this short, story-driven book, you’ll discover 10 real ways I’ve used AI in everyday life: planning travel, organizing decades of ideas, rebuilding a passion project, launching a newsletter, prototyping apps in under a minute, navigating a passport crisis, and more. Each chapter follows a simple, human framework:Need → Problem → Solution No jargon. No hype. Just clear examples of how AI can help you think better, save time, and reduce friction in your daily life. If you’re curious about AI but don’t know where to start, this book shows you what’s possible—one small, practical win at a time.

Master AI Agents from Architecture to ProductionBuild autonomous agent systems that actually work in production. This comprehensive guide takes you from understanding ReAct patterns to orchestrating multi-agent systems at scale. What You'll Master: ✅ Agent architectures: When to use agents vs RAG vs fine-tuning ✅ Reasoning patterns: ReAct, Chain-of-Thought, Plan-and-Execute ✅ Multi-agent orchestration with proper coordination protocols ✅ Production deployment with error handling, monitoring, cost optimization ✅ Tool calling, memory systems, and context management Who This Is For: Software engineers (2-7 years) building LLM applications, backend engineers adding agentic capabilities, senior engineers preparing for AI agent interviews at top companies. What Makes This Different: 100+ production-focused scenarios with real architectural trade-offs. Real-world examples from companies shipping agent systems . Stop building chatbots. Start building agents that take action.

Master Gen AI from Theory to ProductionYou don't learn Gen AI from tutorials — you learn from solving real problems. How does ChatGPT handle context and avoid hallucinations? How does Perplexity build RAG at scale? How does GitHub Copilot generate accurate code? Grokking Gen AI teaches through real-world scenarios and production patterns. 116 scenario-driven case studies covering: ✅ RAG with vector databases and hybrid search ✅ Prompt engineering with Chain-of-Thought reasoning ✅ Document processing with multi-format parsing ✅ Multi-modal AI with vision and audio ✅ Production deployment with monitoring and cost optimization Every scenario includes: production problem, architectural approaches, Gen AI patterns, decision frameworks, tool implementations, and interview-ready explanations. Learn through case studies from OpenAI, Anthropic, Google, Meta, and top AI-companies. Your journey from developer to Gen AI architect begins here — with scenarios you'll face and tools you can deploy.

What happens when software begins to think for itself? The Rise of AI-Native Software takes you on a journey through the evolution of coding, from human-written logic to AI-generated intelligence. Ayodeji Stephen Saliu reveals how artificial intelligence is transforming development workflows, redefining productivity, and birthing a new generation of “AI-native” applications that learn, adapt, and co-create with humans.Through vivid examples and frameworks, the book uncovers how developers can move beyond automation toward true cognitive collaboration. This is not a story of machines replacing engineers, but of a partnership that amplifies human potential, unleashing creativity, precision, and innovation at scale.

What happens when machines stop merely assisting developers and start thinking with them?Developer Productivity and Cognitive Automation takes you inside the next evolution of software engineering: where AI becomes your co-creator, automation becomes cognitive, and productivity is measured not in lines of code, but in focus, creativity, and flow.Through vivid stories, from high-pressure fintech teams in Lagos to AI-powered engineering squads in the UK, the book unveils how the smartest organizations are redefining “developer productivity” around mental energy, collaboration, and innovation. Whether you’re a coder, team lead, or tech executive, this book shows you how to build systems that amplify human intelligence, not replace it

In un mondo dove ogni byte ha un impatto, Sustainable IT, the practical way è la guida per trasformare la sostenibilità digitale da slogan a pratica quotidiana. Niente teoria astratta: questo libro ti accompagna passo dopo passo nel processo di analisi dei numeri, monitoraggio dei risultati e definizione di OKR capaci di generare un vero piano d’azione. Imparerai a distinguere ciò che conta davvero da ciò che è solo rumore, a misurare l’efficienza energetica dei tuoi sistemi e a collegare i dati operativi alle decisioni strategiche. Attraverso esempi concreti, strumenti pronti all’uso e una metodologia testata in workshop reali, scoprirai come rendere sostenibile ogni fase del ciclo di vita digitale — dal codice all’infrastruttura, dal prodotto alle persone. Il libro integra e applica le best practice della Green Software Foundation, traducendole in un linguaggio accessibile e operativo per chi vuole fare la differenza, oggi.