Books

Most AI systems can talk, but few can actually do. This book shows you how to build AI agents that reliably use tools, call APIs and automate real workflows. Using DSPy, Pydantic AI, the Claude Agent SDK, the OpenAI Agents SDK and Google ADK, you'll learn practical patterns for building reliable agents that work in production.

Stop reading dry atomic physics textbooks and start driving a live nuclear reactor from your browser. From Grid to Core takes a reverse-engineering approach designed for software, control, and electrical engineers, walking you upstream from the familiar 400 kV switchyard straight into the nuclear core.

In Parramatta’s bruised twilight, nine wives speak only beautiful lies to keep their husbands alive. One syllable of truth could kill; one veil of Mithya may save them all. But what remains when the light of illusion begins to fracture?

I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.

The product playbooks built for Silicon Valley break the moment the internet drops, the currency crashes, or the regulator rewrites the rules at midnight. This book provides the alternative: a battle-tested system for building products that thrive under uncertainty, drawn from real experience across Africa, Southeast Asia, and Latin America. If you build products in the real world, this is your field guide.

Stop treating neural networks as a black box. Build a two-layer binary classifier from scratch with Python and NumPy. Learn the forward pass, binary cross-entropy, backpropagation, gradient descent, mini-batch training, L2 regularization, gradient checking, and leakage-safe evaluation. This book focuses on understanding—not copying code.

Stop Guessing. Start Dominating Your DevOps Interview.You’ve spent years mastering GCP, Terraform, Kubernetes, and CI/CD—but can you articulate your expertise under pressure? Most candidates stumble on strategic framing, production scenarios, or leadership questions. This guide changes that.What’s Inside? 🔹 End-to-End CI/CD Pipeline Design – From GitHub Actions to ArgoCD, with security gates and rollback strategies. 🔹 Secure Multi-Env GCP Infrastructure – Private GKE clusters, Workload Identity, Secret Manager, and VPC Service Controls—all production-ready. 🔹 Kubernetes + ArgoCD at Scale – App-of-Apps patterns, RBAC, and zero-downtime deployments for multi-team platforms. 🔹 Python for DevOps Automation – Audit IAM bindings, build operators, and automate workflows like a pro. 🔹 Leadership & Behavioral Mastery – STAR method stories for incidents, tool adoption, and mentorship.Why This Guide? ✔ No Fluff – Only actionable, interview-tested content. ✔ Real-World Code – Terraform modules, ArgoCD manifests, and Python scripts you can use today. ✔ Interviewer Mindset – Learn what hiring managers actually look for in a Lead DevOps Engineer.Your Next Career Move Starts Here. 📖 Grab your copy and walk into your interview prepared to impress.

Essie, the imagined black quantum cat, becomes a detective and investigates the famous and hidden mysteries of quantum theory, from measurement and the Born rule to Gödel’s silence, Wittgenstein’s absence, Majorana’s disappearance, and the strange power of successful calculation.