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Infinitely scale your business to greater heights with Amazon Web Services. With this audiobook, you will be able to tap into the Amazon Web Services and harness their power, easy-peasy! Amazon’s business model makes it easy for every business owner - whether they’re just starting out, or already have an established business that need technology to catch up with the changing tides - to customize what services they get, at prices they can control! Amazon Web Services is the only technology you will need to help your business expand its reach across oceans in no time!

Have you ever wanted to create your own computer software, app, or website? In this day and age where technology is integrated into the foundation of our lives, have you ever thought to yourself, “How do I create the next WhatsApp?” or “How do I create the next Facebook?”

Are you aware that C is one of the most popular and commonly-used programming languages today? Did you know many expert developers have started learning C in order to become knowledgeable in computer programming? Do you want a simple way to understand step-by-step actions to learning C programming, while skipping all the technical jargon so many learners fear in programming? If you are having doubts about learning the language, do not! C is actually easy to learn. Compared to C++, C is much simpler!

I want to thank you for checking out the audiobook Domain Driven Design: How to Easily Implement Domain Driven Design - A Quick & Simple Guide. This book contains proven steps and strategies on how you can implement the domain-driven design approach in your projects to bring out better results. Through the domain-driven design approach, you and your project team will better understand the domain that you aim to serve and communicate in a common language that can ensure harmony and team work with your group.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

GitOps and Kubernetes introduces a radical idea - managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process.

Doom Guy: Life in First Person is the long-awaited autobiography of gaming’s original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game history. Credited with the invention of the first-person shooter, a genre that continues to dominate the market today, he is gaming royalty. Told in remarkable detail, a byproduct of his hyperthymesia, Romero recounts his storied career.

Achieving high accuracy in AI systems requires careful consideration of various factors, including data quality, algorithm selection, model complexity, evaluation metrics, domain-specific challenges, and ongoing learning and adaptation. While AI systems have demonstrated remarkable accuracy in many applications, continuous research and development efforts are needed to further improve accuracy and address the challenges associated with real-world deployment.

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.

Serious developers know that code can always be improved. With each iteration, you make optimizations - small and large - that can have a huge impact on your application’s speed, size, resilience, and maintainability. In Seriously Good Software: Code That Works, Survives, and Wins, author, teacher, and Java expert Marco Faella teaches you techniques for writing better code. You’ll start with a simple application and follow it through seven careful refactorings, each designed to explore another dimension of quality.

Hello, world. Facebook's algorithms shaping the news. Self-driving cars roaming the streets. Revolution on Twitter and romance on Tinder. We live in a world constructed of code--and coders are the ones who built it for us. From acclaimed tech writer Clive Thompson comes a brilliant...

The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical audioguide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history.

David's unique and engaging approach to teaching HTML and CSS principles means that listeners are ready to start designing from the very first chapter without enduring an avalanche of boring jargon or dry technobabble.

Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It’s full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you’ll soon be engineering tests that find bugs in edge cases and parts of code you’d never think of testing! Along the way, you’ll develop an intuition for testing that can save years of learning by trial and error.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Objects are the central concept of languages like Java, Python, and C#. Applying the best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time.

Unit Testing Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.

What is the true meaning of quality? How can you influence positive attitudes towards quality within the workplace? Leading Quality teaches you how to influence and align your company’s definition of quality, so that you can deliver the best possible experience to your clients. You will learn the techniques successful leaders use to make their strategic decisions and you will be given the tools to ensure that your team is in alignment to achieving common goals.

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.

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