Showing results for "unabridged" in Programming & Software Development

AI Agents for Business Leaders introduces the Agentic Maturity Model—a five-level framework that shows exactly where your business sits today, what the next level looks like, and what changes when you get there. Most businesses are stuck at Level 1 or 2. The ones pulling ahead have reached Level 3 and beyond—where AI doesn't assist work, it owns it.

This practical guide reveals how to create sophisticated multi-agent AI systems using Claude Code, giving you the competitive edge in the rapidly evolving world of AI development. Unlike generic AI tutorials, this book focuses specifically on Anthropic's Claude models and their unique advantages for building reliable, scalable agent systems. You'll discover why Claude's extended context window and superior reasoning capabilities make it the preferred choice for complex multi-agent workflows that other LLMs struggle to handle.

The greatest professional disruption since the internet is happening right now—and most leaders are responding with the one strategy guaranteed to fail: random experimentation. While they chase tools, a small cohort of strategic leaders is quietly building an advantage that compounds daily. They're not learning faster. They're learning differently—with systems that turn AI into operational leverage instead of another item on the to-do list.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. 

Claude for Complete Beginners shows you exactly how to build real apps using Claude AI and Artifacts—a revolutionary no-code app development approach that requires zero technical knowledge. Whether you want a task manager, habit tracker, unit converter, or custom calculator, you'll have a working application by the end of your first session.

In Untangling AI, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model...

How to Measure Anything in Project Management explains why popular methods for measurement in project management are flawed and describes how to conduct measurements that better inform decisions, reduce project risks, and improve the chance of project success.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

The biggest opportunity in technology right now is not building AI models — it's wrapping existing ones into profitable products that solve specific problems. The Wrapper Business Model: Understand why wrapping models like ChatGPT and Claude are the fastest path to recurring revenue, with real examples from PDF.ai ($30,000/month), PhotoAI ($160,000/month), and Jenni AI ($10 million annually).

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal - especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager. 

What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and...

Sierra On-Line was one of the very first computer game companies and at one time dominated the industry. The author, Ken Williams, founded Sierra On-Line with his wife Roberta who went on to create many of the company's best-selling games. Sierra grew from just Ken and Roberta to over 1,000 employees and a fan base that still exists today, despite the fact that the company was torn apart by criminal activities, scandal, and corruption that resulted in jail sentences and the collapse of Sierra.

When we think about the future, it can be difficult to feel that we have any control. We aren't confident that we can take actions and make decisions that help determine what happens next. We want to feel prepared, hopeful and equipped and to face the future with optimism. Or, better yet, change the future. But how do we map out our lives when it feels impossible to predict what the world will be like next week, let alone next year? Jane McGonigal, a renowned future forecaster, reveals that 'unimaginable' events aren't unimaginable before they happen.

Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn’t written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them - and earn the pride and fulfillment that they alone possess.

Everyone in the newsroom knows that somebody is monitoring their emails, but Beth and Jennifer don't believe anyone would read their never-ending conversations. But Lincoln does, it's his job, and Beth and Jennifer's hilarious, no-holds-barred emails are the best part of his day. The only problem is he's starting to fall in love with Beth and yet she doesn't even know he exists. With ex-boyfriends, office politics and family drama, there never seems to be a good time for Lincoln to introduce himself. But to get the life you want sometimes you need to put yourself out there....

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.