検索キーワード： 制作 "--Tyson Hanks" プログラミング言語

暴言を吐く、支配したがる、けなして自信を失わせる、優しいようで水面下で工作している、一見目立たない人を含めて、あなたの周りにはとんでもない人が隠れているかもしれない。

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

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.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

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

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.

It's challenging to assess and understand how to learn a new skill, mainly when the subject appears vast. There can be so much data available that it is difficult to know where to begin. Even worse, you start learning and soon find there are so many definitions, commands, and complexities not clarified. This book is helpful even if you have never used Linux before but want to master it.

Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

Angular 2 Development with Typescript introduces Angular 2 to developers comfortable using AngularJS v1 or other web frameworks. You'll start by exploring how Angular 2 works in an Online auction application. Along the way, you'll learn to use TypeScript to write type-aware classes, interfaces, and generics. This is a practical book that covers real-world development concerns like data and views, user interaction with forms, and communicating with servers, as well as testing and deploying your Angular 2 applications.

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.

Whether you're a budding programmer or an experienced developer looking to sharpen your skills, this comprehensive guide will take you from the fundamentals of PHP to the creation of fully interactive, data-driven websites. Starting with an introduction to PHP's history and its significance in web development, this book systematically guides you through every aspect of server-side scripting. Learn the essentials of PHP syntax, variables, and control structures, and discover how to write clean, efficient code that powers some of the most popular websites today.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Do you need to learn how to use SQL in order to properly manage a database? Do you want to learn SQL programming without complicated explanations? SQL for Beginners: A Step by Step Guide to Learn SQL Programming and Database Management Systems is an easy to digest and fast-paced guide to learning Structured Query Language (SQL), which is the industry standard programming language for defining and analyzing data in databases. The audiobook will focus on how to use SQL in order to process your data and find out what it means.

Learn Python fundamentals that can be used in any programming setting—use the guidance in this book to program your own game in a unique and practical Python learning experience. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

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.

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.

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.