Books

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

Apprendre à programmer n'a jamais été aussi fun !

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

Explore the many facets and styles of leadership with the leaders of the Problem Solving Leadership workshop.

Psychology, Philosophy, History and Politics of the Inner Struggle

What eats a fly? Ask the pond. λProlog, types and higher-order logic from zero, one question at a time.

Build and operate LLMs on-premise environment that stay reliable, auditable, and compliant — not just after launch, but continuously. Closed-Loop LLMOps is not another framework for building models — it is a practical system for operating them reliably at scale. It treats language models as living, evolving capabilities rather than static artifacts. This is practitioner’s guide with RAG Ready appendices , to closed-loop LLMOps for regulated and on-prem environments.

Make desktop automation practical, reliable, and cross-platform. Discover how to automate real-world applications, record interactions, and build maintainable GUI tests with Python.

Grokking LLMs makes the inner workings of large language models easier to understand, from the ideas that power them to how they learn and generate text. Build your knowledge step by step and discover what’s happening beneath the surface of today’s most exciting AI technology.

What would you do if the mobile networks went down, banking apps stopped working, and electricity failed overnight? In modern conflicts, disruptions don't just happen on a battlefield—they reach your devices, your data, and your daily life."Digital & Physical Survival Guide" bridges the gap between cybersecurity and real-world preparedness. Written for ordinary people, this manual teaches you how to secure your primary email, encrypt vital documents, navigate disinformation, build an emergency tech kit, and maintain communication when conventional networks fail.When systems go offline, preparation is your greatest advantage. Get your copy today and stay resilient when it matters most!

AI is most dangerous when it's almost right. Fifteen essays on software engineering in the age of AI, read through the psychology of Alfred Adler, about the machine that is almost right, and about our almost-right responses to it.

Stop only using databases — start understanding them. A living study of PostgreSQL internals for backend engineers: how pages, indexes, and WAL actually work, written clearly while learning, not after mastery.