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Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
The deepest tutorial and explanation about EventStorming, straight from the inventor.
This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.
Do you need a high performance enterprise governance approach improving management, execution and delivery while dealing with multiple projects/products, events, stakeholders and teams? Giving you better bottom line results, faster time to market, less work, better predictability, happier employees, and delighted clients? Then learn about TameFlow!
#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.
This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.
Impact mapping helps to create better plans and roadmaps that ensure alignment of business and delivery, and help organisations make an impact with their software.
Whether you're stepping into your first management role or navigating a new company, this book shows you how to thrive by understanding the hidden rules that shape your role, building unshakeable team alignment, and mastering the art of planning in uncertainty. From decoding your company's DNA and organizational dynamics to turning vague ambitions into actionable plans, you'll discover practical frameworks that reveal why some engineering teams flourish while others get stuck in endless debates and missed deadlines. This is the book we wish we had when we first stepped into management.
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.
You distinguish yourself from others not so much by what you've read, viewed or listened to, but by the lasting impact that information has had upon you. How can you use knowledge to become a more effective person? Cognitive Productivity answers this question with cognitive science and practical strategies.
“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell
Do you want to be a better Scrum Master? Do you want to make a difference in the world? Are you a manager responsible for Agile teams. If so, then you need to learn the First Principles in Scrum. Some people say that these insights have changed their life, or given them their life back. Are you ready to make a change? Then read this book.
This is part 1 of the latest edition of the classic, Quality Software Management. Its fundamental purpose is to teach how to understand the dynamics of software development organizations, to plan software projects, and to act effectively to carry out those plans.
"The AI confirmed X for me" used as proof of X. Outputs that sound brilliant but don't hold up to a severe re-reading. A three-page "AI policy" that nobody reads. Sound familiar? Thinking with LLMs, the Right Way is the system of critical thinking applied to LLMs: the Thinking-With Triangle (Intent / Adversary / Editor), the four meta-decisions of governance, the Socratic and adversarial practices for investigating and verifying. Not prompt engineering: the method for not letting yourself be mirrored.