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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 02 七月 | +5 | |||
| 01 七月 | +112 |
频道帖子
| 2 |  Microsoft 365 Excel Office Scripts For Dummies 2027
Автор: Michael Alexander
Unlock the full potential of automation in the online version of Excel online with this easy-to-follow guide.
Microsoft 365 Excel Office Scripts For Dummies, by experienced Microsoft MVP Michael Alexander, explains how to use Office Scripts to unlock VBA-like capabilities in the online version of Excel. Alexander demonstrates exactly how to automate repetitive tasks, streamline workflows, and customize your spreadsheet experience with the same power previously available only to users of Excel’s desktop version. | 438 |
| 3 | Starting_Out_with_C++_from_Control_Structures_Through_Objects_11.pdf | 761 |
| 4 |  Starting Out with C++ from Control Structures Through Objects, 11th Edition 2027
Автор: Tony Gaddis
Starting Out with C++: From Control Structures through Objects helps you understand how, why, and when to implement C++ features and constructs. It introduces programming for beginners while exploring the C++ details, common pitfalls, and nuances that challenge programmers of all experience levels. Control structures, functions, arrays, and pointers are covered before objects and classes. Each chapter includes code listings, practical real-world examples, and abundant exercises. | 715 |
| 5 | Build Python Web Apps with Streamlit_True.pdf | 807 |
| 6 |  Build Python Web Apps with Streamlit: AI and data applications in minutes (Final Release) 2026
Автор: Aneev Kochakadan
Build Python Web Apps with Streamlit teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you’ll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You’ll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. | 772 |
| 7 | Dissecting the Dark Web.pdf | 824 |
| 8 |  Dissecting the Dark Web: Reverse Engineering the Tools of the Underground Economy 2026
Автор: Lindsay Kaye
The dark web has a marketplace. This is what's for sale.
Getting into the dark web isn’t simple. You need Tor. You need clean OPSEC. And even then, the forums worth being in don’t just let you walk through the door. The top-tier ones require vouches from established members, Bitcoin deposits, proof that you’re somebody.
In 2021, Lindsay Kaye was among the first to reverse engineer and publicly disclose a new ransomware variant. She did it before the group behind it, BlackMatter, had even started operations. How? She found it by watching the dark web forums where the group was quietly recruiting affiliates. | 797 |
| 9 | Codex CLI. Agentic Engineering from First Principles.pdf | 1 175 |
| 10 |  Codex CLI: Agentic Engineering from First Principles 2026
Автор: Daniel Vaughan
The definitive guide to agentic software engineering with Codex CLI, from prompting fundamentals to multi-agent orchestration, CI/CD integration, and enterprise deployment across 32 hands-on chapters.
Codex CLI is the most comprehensive guide to agentic software engineering with OpenAI's command-line coding agent. Across 32 chapters, you'll move from first principles to advanced orchestration patterns — covering prompting, AGENTS.md configuration, MCP servers, hooks, skills, sub-agents, worktrees, CI/CD integration, security hardening, and enterprise deployment.
Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents. | 1 047 |
| 11 | Hands-On RAG for Production_Final.pdf | 1 043 |
| 12 |  Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications (Final Release) 2026
Автор: Ofer Mendelevitch
Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization's unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise's needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications. | 941 |
| 13 | Hands-On LLM Serving and Optimization_True.pdf | 828 |
| 14 |  Hands-On LLM Serving and Optimization: Hosting LLMs at Scale (Final Release) 2026
Автор: Chi Wang
Large language models (LLMs) are rapidly becoming the backbone of AI-driven applications. Without proper optimization, however, LLMs can be expensive to run, slow to serve, and prone to performance bottlenecks. As the demand for real-time AI applications grows, along comes Hands-On Serving and Optimizing LLM Models, a comprehensive guide to the complexities of deploying and optimizing LLMs at scale.
In this hands-on book, authors Chi Wang and Peiheng Hu take a real-world approach backed by practical examples and code, and assemble essential strategies for designing robust infrastructures that are equal to the demands of modern AI applications. Whether you're building high-performance AI systems or looking to enhance your knowledge of LLM optimization, this indispensable book will serve as a pillar of your success. | 732 |
| 15 | Practical AI Security_True.pdf | 778 |
| 16 |  Practical AI Security: A Hands-on Guide to Attacking, Defending, and Securing Modern AI Systems 2026
Автор: Harriet Farlow
Break AI Systems. Then Secure Them.
If you’re a security practitioner learning to operate in AI environments, or an ML engineer who needs to understand what adversaries actually do, Practical AI Security gives you the technical foundation the field demands.
Built from first principles, this book takes you from how models fail to how they’re exploited to how they’re defended and audited. Every technique includes clear explanations and real-world examples, and you can run the attacks and defenses yourself with over 30 hands-on Python demos. | 686 |
| 17 | CISO_ Evolution of a Vocation.pdf | 738 |
| 18 |  CISO: Evolution of a Vocation: Confessions of a Recovering CISO 2026
Ron Baklarz
This book comprises three levels. The first level shares the author’s personal journey, beginning as a homeless college dropout and culminating in over thirty years of service as a CISO and in CISO‑equivalent roles at some of America’s most iconic companies and organizations. Drawing on experience and discipline gained from military contracting work, the author maintained a letter log system to manage the commitments and document the issues he faced. He also kept digital copies of over 1,000 memorandums issued during his later CISO roles. Through excerpts from selected memos, readers gain an unprecedented view into the cybersecurity challenges he confronted as CISO. Each chapter includes “Lessons Learned,” providing readers with the benefits of the author’s life lessons and cybersecurity experiences. Where warranted, the author recognizes his “All Star” team members whom he had the privilege of working with. | 684 |
| 19 | Learning AutoML_True.pdf | 876 |
| 20 |  Learning AutoML: Automating ML Pipelines with Autogluon, Leading Frameworks, and Real-World Integration 2026
Автор: Kerem Tomak
Learning AutoML is your practical guide to applying automated machine learning in real-world environments. Whether you're a data scientist, ML engineer, or AI researcher, this book helps you move beyond experimentation to build and deploy high-performing models with less manual tuning and more automation. Using AutoGluon as a primary toolkit, you'll learn how to build, evaluate, and deploy AutoML models that reduce complexity and accelerate innovation.
Author shares insights on how to integrate models into end-to-end deployment workflows using popular tools like Kubeflow, MLflow, and Airflow, while exploring cross-platform approaches with Vertex AI, SageMaker Autopilot, Azure AutoML, Auto-sklearn, and H2O.ai. Real-world case studies highlight applications across finance, healthcare, and retail, while chapters on ethics, governance, and agentic AI help future-proof your knowledge. | 754 |
