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Unlock the power of Java programming with this comprehensive, easy-to-follow audiobook designed for beginners and seasoned coders alike! Whether you're stepping into coding for the first time, looking to sharpen your skills or just want to enjoy a great computer programming language audiobook on the go! This audiobook takes the complexity out of Java, providing clear, straightforward explanations with real-world examples that will have you coding like a pro in no time.

Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices.

Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence.

The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work.

¿Ha querido automatizar diferentes procesos y funciones que realiza en Excel? Si desea llevar Excel a un nuevo nivel, debe entender VBA y automatizar los muchos procesos que puede realizar en Excel. Si quieres hacer esto, has venido al lugar correcto. Este libro presenta numerosas opciones de Excel a partir de las diferentes herramientas y operaciones que puede realizar con Visual Basic. En el transcurso de este libro, recopilará información sobre todos los conceptos y elementos necesarios que le ayudarán a programar con Excel.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

Want to learn Python and start coding real apps in just 7 days? Start from scratch—even if you’ve never written a single line of code—and build real projects you’ll be proud of. In this beginner-friendly crash course, you'll learn Python the easy way with hands-on projects, clear step-by-step instructions, and zero fluff. Whether you're a total newbie, a student, or just curious about coding, this book will get you started the right way.

Learn Machine Learning While You Listen – Build Real AI Projects Without a Tech Background. Whether you're driving, working out, or just tired of reading screen after screen, this audiobook gives you the full crash course in machine learning — hands-free.

Are you ready to unlock the full power of AI in your daily work, business, or creative projects? Mastering Prompt Engineering is your essential audio guide to writing smarter prompts, building intelligent workflows, and thriving in an AI-first world—no technical background required.

Discover how to take control of AI tools like ChatGPT, Claude, Gemini, and more—just by mastering the way you prompt them. In this comprehensive and accessible guide, Prompt Engineering Secrets reveals the proven techniques used by top writers, coders, marketers, educators, and entrepreneurs to generate smarter, faster, and more useful results from today’s most powerful language models.

Code Smarter. Build Faster. Master Python Efficiency. Are you ready to write cleaner, faster, and more powerful Python code—without wasting hours on trial and error? In Code Faster with Python: Essential Hacks for Speed and Efficiency, author Maxen Ford delivers an action-oriented guide to help you boost your coding speed, eliminate repetition, and streamline your development process. This audiobook is your shortcut to mastering high-performance Python.

Unlock the full potential of Python programming with 2025 Python Programming Coding, Projects, and Problem-Solving Automation, now available in audiobook format! Perfect for students, educators, and aspiring developers, this engaging guide takes you step-by-step through Python’s essentials, from coding basics to real-world applications.

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.

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.

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.

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

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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.

Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond "gut feeling" for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.