検索キーワード： ソフトウェア開発

We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care? Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. 

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. 

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.

Data is everywhere. The real advantage comes from knowing how to turn it into useful information. Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking...

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models. PyTorch core developer Howard Huang updates the bestselling original “Deep Learning with PyTorch” with new insights into the transformers architecture and generative AI models.

複雑化するソフトウェア設計とビジネス要件の狭間で生まれる認識のズレを解消し、ドメイン駆動設計による堅牢なアーキテクチャ構築への道を拓きます。通勤時の電車の中やデスクでの作業中、システムの肥大化に頭を...

単なるAPIの呼び出しから脱却し、最先端のAIエージェントを本番環境で安全かつ確実に稼働させるための実践的なシステムアーキテクチャ設計を手に入れましょう。開発現場での試行錯誤やシステム設計の壁に直面してい...

This audiobook is narrated by an AI Voice. Stop struggling with traditional coding tutorials that lead nowhere. Claude Code for Beginners is your complete roadmap to mastering AI-assisted development—even if you've never written a line of code. Written by Michael Patterson, who leads 120...

巧妙化するサイバー攻撃の波に対し、エージェンティックAIを活用した自律型防御エージェントを構築し、人間の知見と融合させる次世代のセキュリティ戦略を解き明かします。慌ただしい通勤時間や業務の合間に耳を傾...

Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.

Want to learn Python without feeling lost, overwhelmed, or stuck staring at confusing code? Python is one of the best programming languages for beginners because it is simple, powerful, and used everywhere—from websites and automation to data, AI, apps, and real tech careers. Python Programming for Beginners gives you a clear, step-by-step path to learning coding from the ground up, even if you have never written a single line of code before.

私たちの日常を支配するテクノロジーのブラックボックスを解き明かし、古代の論理から現代のSNSフィードを操るアルゴリズムへと至る、知的好奇心を刺激する壮大な知の旅が今ここから幕を開けます。毎日の通勤電車の...

AWS App Runner is a fully managed service that makes it easier to deploy web applications and APIs directly from source code or container images without managing the underlying infrastructure. In this concise edition of Cloud Uncovered, Sam Kusi explains how AWS App Runner can automatically...

Unlock the World of Neural Networks in Python! Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!

"Build a Reasoning Model (From Scratch)" is a practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step. The book tells a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build reliable evaluation tools, improve reasoning through inference-time methods, then move into training-based approaches such as reinforcement learning and distillation.

This audiobook is narrated by an AI Voice. Are you drowning in "context pollution," where your AI assistant forgets your database schema halfway through coding, suggests frontend solutions for backend problems, and generally behaves like an overwhelmed junior developer juggling six different...

複雑な業務要件とソフトウェアの構造が噛み合わないという開発現場の永遠の課題を、ドメイン駆動設計という強力な思考の道具で鮮やかに解決へと導きます。通勤電車の中やデスクでの作業中に耳を傾けるだけで、ビジ...

Is your organization relying on the passive illusion of "assurance" when it desperately requires the rigorous discipline of "engineering"? In Philosophy of Software Quality Engineering, IT/IS architect and veteran engineer Martin J. Lammer delivers a groundbreaking philosophical treatise that dismantles traditional Software Quality Assurance (SQA) paradigms. Rebuilt from the ground up, this text establishes a new foundation based on rigorous engineering, ontology, and pragmatism. The software industry is currently in an epistemological crisis.

Large language models (LLMs) have transformed natural language processing, but deploying them in applications introduces numerous technical challenges. Large Language Models: The Hard Parts offers a clear, practical examination of the limitations developers and AI engineers face when building...

複雑な数式や専門用語に頼らず、耳で聴くだけでプログラミング的思考をインストールできる、未経験者のための画期的なコーディング入門ガイドです。満員電車での通勤中や画面を見られない移動時間でも、やさしく落...