検索キーワード： プログラミング・ソフトウェア開発

Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills. This in-depth book shows you how to understand your role, manage your time, master strategic thinking, and set the standard for technical work.

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. 

Turn your Excel skills into real data-analysis power with R.You already understand rows, columns, formulas, tables, charts, and reports. Now it’s time to take that spreadsheet mindset and upgrade it into one of the most powerful tools in modern data analysis: R programming.R Programming for...

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...

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.

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...

Go beyond basic SQL and start thinking like a developer. This practical intermediate guide teaches joins, subqueries, window functions, CTEs, indexes, query optimization, and real-world database projects step by step. Perfect for developers, analysts, students, career changers, and anyone ready to write cleaner, faster, more powerful SQL.

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.

This beginner-friendly guide teaches databases, queries, joins, tables, filtering, grouping, data analysis, and real-world SQL skills step by step. Perfect for students, office workers, career changers, small business owners, freelancers, and anyone who wants to understand data and build a practical tech skill.

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.