Books

Master AI Agents from Architecture to ProductionBuild autonomous agent systems that actually work in production. This comprehensive guide takes you from understanding ReAct patterns to orchestrating multi-agent systems at scale. What You'll Master:✅ Agent architectures: When to use agents vs RAG vs fine-tuning✅ Reasoning patterns: ReAct, Chain-of-Thought, Plan-and-Execute✅ Multi-agent orchestration with proper coordination protocols✅ Production deployment with error handling, monitoring, cost optimization✅ Tool calling, memory systems, and context management Who This Is For: Software engineers building LLM applications, backend engineers adding agentic capabilities, senior engineers preparing for AI agent interviews at top companies. What Makes This Different: 100+ production-focused scenarios with real architectural trade-offs. Real-world examples from companies shipping agent systems . Stop building chatbots. Start building agents that take action.

Master Generative AI from Theory to ProductionYou don't learn Gen AI from tutorials — you learn from solving real problems. How does ChatGPT handle context and avoid hallucinations? How does Perplexity build RAG at scale? How does GitHub Copilot generate accurate code? System Design Mastery - Generative AI teaches through real-world scenarios and production patterns. 116 scenario-driven case studies covering:✅ RAG with vector databases and hybrid search✅ Prompt engineering with Chain-of-Thought reasoning✅ Document processing with multi-format parsing✅ Multi-modal AI with vision and audio✅ Production deployment with monitoring and cost optimization Every scenario includes: production problem, architectural approaches, Gen AI patterns, decision frameworks, tool implementations, and interview-ready explanations. Learn through case studies from OpenAI, Anthropic, Google, Meta, and top AI-companies. Your journey from developer to Gen AI architect begins here — with scenarios you'll face and tools you can deploy.

Master Data and ML Systems at ScaleYou don't master data platforms from textbooks — you master from solving real problems at petabyte scale.System Design Mastery - Data Analytics and Machine Learning teaches through production scenarios and case studies. 100 scenario-driven case studies covering:✅ Lakehouse architecture with Delta Lake, Iceberg, Hudi✅ Real-time pipelines with Kafka, Spark, Flink✅ Feature stores with Feast for training-serving consistency✅ MLOps platforms with MLflow, SageMaker, Airflow✅ Data quality frameworks with Great Expectations✅ Multi-region data sync and model serving at scale Every scenario includes: production challenge, architectural trade-offs, data/ML patterns, decision frameworks, and interview-ready explanations. Learn through real-world case studies from Netflix, Uber, Airbnb, Spotify's petabyte-scale data and ML architectures. Your journey from data engineer to architect begins here — with scenarios you'll face and systems you can build.

LM Studio is a great tool for running LLM models locally on your own computer. Tech overviews and Python examples. Deep dive into using Model Context Protocol (MCP)

Ever found yourself nodding along in conversations about "logs, metrics, and traces" without quite knowing how they all fit together? This book takes you on a journey through the vital yet often misunderstood world of observability, unraveling the complexities of modern system monitoring and turning them into clear, actionable insights.From foundational principles to advanced monitoring techniques, this guide reveals how observability is the secret sauce behind reliable, scalable, and high-performing systems. With real-world examples and practical tools, you'll learn how to go beyond basic metrics and transform your systems from opaque black boxes into transparent, manageable, and self-healing platforms.Buckle up—it's time to elevate your systems with the power of observability!

この本はghqのメインメンテナがghqの使い方を網羅的に解説したハンドブックです。ghqはリポジトリ管理をシンプルかつ簡単にするためのコマンドラインツールです。ghqを使ってリポジトリ管理を簡単にしましょう。

Deep to know hotest open source project ever - OpenClaw.Using vibe coding to build your own claw.

Unlock a profound path to self-development with Yu-kai Chou's innovative "10,000 Hours of Play." Master Life's Game through a unique 6-step program (1. Game, 2. Attributes, 3. Role, 4. Skills, 5. Alliances, 6. Quests), blending gaming allure with self-actualization. Your journey to fulfillment starts here.

You already know Pandas? But it is not enough, for your big data analysis? This book will help you to get started quickly with PySpark DataFrame API if you already know Pandas.

Anyone interested in learning how and why the online advertising industry benefits from using personal data, and how the GDPR impacts this practice should read this book.

Need to collect terabytes of data across all aspects of your operations? Need to transform complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all business decisions to unbelievable levels? Having problems with performance or maintenance? If so, this book is for you!

Learn how to develop Java microservices on Amazon Web Services, one of the largest cloud computing platforms. Learn how to work with services such as Elastic Container Service, CloudWatch, Relational Database Service, Simple Notification Service, Simple Queue Service, DynamoDB, and Lambda.

The interest of many young scientists in climate research is often cut short by the sometimes stressful experience of having to learn how to code. This book covers everything a student or young researcher needs to know covering climate data types and file formats, remote server login, the Unix command line, number crunching with CDO and Python Xarray/NumPy as well as how to create high-quality publishable plots.

We need leaders, and eventually we want to become a really good one. Often times it is confusing still. What distinguishes a manager from a leader? What distinguishes a leader from a technical one in today tech world?  This book walks through what makes or breaks a good technical leader - in a very opinionated manner.

Avoid outdated and bygone management traditions. Become a modern manager. Learn to manage yourself so you can lead and serve others with ease.