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频道帖子
| 2 |  Blue Team Handbook: SOC, SIEM, and Threat Hunting: Practical Techniques for Security Operations and Threat Hunting Teams (Final Release) 2026
Автор: Don Murdoch
As cyberthreats become more sophisticated and alert volumes rise, security teams need more than just tools—they need strategy, structure, and field-tested guidance. Following the success of the original edition, this updated edition of Blue Team Handbook: SOC, SIEM, and Threat Hunting is still the essential resource for building, optimizing, and managing modern detection engineering practices and security operations centers. | 326 |
| 3 | The Spacecraft Hackers Handbook_True.pdf | 536 |
| 4 |  The Spacecraft Hacker's Handbook: Exploiting Ground Stations, Flight Software, and Satellite Terminals 2027
Автор: Andrzej Olchawa
Satellites power our internet, GPS, weather forecasts, defense systems—and they’re all at risk.
Can you really hack a spacecraft? Yes, but probably not the way you think.
Satellites rarely fall out of the sky, and this book won’t tell you how to make them crash. But vulnerabilities can expose sensitive data, disrupt communications, manipulate onboard systems, and even allow attackers to take control of mission operations.
The Spacecraft Hacker’s Handbook takes you inside the hidden world of spacecraft cybersecurity. Through hands-on labs, you’ll write working exploits and uncover vulnerabilities in flight software. From NASA flight software and CCSDS protocols to SATCOM terminals and GNSS attacks, you’ll gain practical experience with the technologies that power modern space missions. | 480 |
| 5 | Context Engineering with DSPy_Final.pdf | 725 |
| 6 |  Context Engineering with DSPy: Self-Optimizing Prompt Pipelines for Building Reliable AI Agents (Final Release) 2027
Автор: Mike Taylor
AI agents need the right context at the right time to do a good job. Too much input increases cost and harms accuracy, while too little causes instability and hallucinations. Context Engineering with DSPy introduces a practical, evaluation-driven way to design AI systems that remain reliable, predictable, and easy to maintain as they grow. AI engineer and educator Mike Taylor explains DSPy in a clear, approachable style, showing how its modular structure, portable programs, and built-in optimizers help teams move beyond guesswork. | 680 |
| 7 | RF and Microwave Design.pdf | 798 |
| 8 |  RF and Microwave Design: Circuits, Devices, and Systems 2027
Автор: Subal Kar
This book deals with the design of circuits, devices, and systems at RF (radio frequency) and microwave frequencies using both the analytical technique and also the EDA (electronic design automation) software tools. EDA-based design technique is now used extensively and helps to translate the optimally designed structures directly to actual fabrication. | 727 |
| 9 | The Cambridge Handbook of Behavioural Data Science.pdf | 825 |
| 10 |  The Cambridge Handbook of Behavioural Data Science 2026
Автор: Ganna Pogrebna
The Cambridge Handbook of Behavioural Data Science offers an essential exploration of how behavioural science and Data Science converge to study, predict, and explain human, algorithmic, and systemic behaviours. Bringing together scholars from psychology, economics, Computer Science, engineering, and philosophy, the Handbook presents interdisciplinary perspectives on emerging methods, ethical dilemmas, and real-world applications. Organised into modular parts-Human Behaviour, Algorithmic Behaviour, Systems and Culture, and Applications―it provides readers with a comprehensive, flexible map of the field. Covering topics from cognitive modelling to explainable AI, and from social network analysis to ethics of large language models, the Handbook reflects on both technical innovations and the societal impact of behavioural data, and reinforces concepts in online supplementary materials and videos. | 763 |
| 11 | Rust for Predictive Analytics and Reliability Engineering.pdf | 810 |
| 12 |  Rust for Predictive Analytics and Reliability Engineering: Applied Modeling and System Design 2026
Автор: Ethan Crossley
Traditional analytical pipelines often hit a performance ceiling in high-stakes, low-latency environments. Rust for Predictive Analytics and Reliability Engineering bridges the critical gap between high-performance computing and uncompromising system safety.
Designed for engineers moving beyond basic syntax, this guide focuses on applied architectures. Whether you are migrating legacy Python workflows, constructing zero-copy data pipelines, or designing fault-tolerant predictive models, this book provides the practical mechanics to build systems that scale without crashing. | 715 |
| 13 | Visualizing Biological Data with ggplot2.pdf | 803 |
| 14 |  Visualizing Biological Data with ggplot2 2027
Автор: William G. Vilchez
We are currently living in an era where technology is constantly advancing, which leads to the generation of large volumes and many types of data. Consequently, the ability to transform complex data into clear and attractive visualizations has become essential. Visualizing Biological Data with ggplot2 encourages readers to explore the power of visualization in biology, combining science and art to communicate findings clearly. | 792 |
| 15 | IoT in Healthcare.pdf | 1 004 |
| 16 |  IoT in Healthcare: Transforming Patient Care through Smart and Connected Solutions 2027
Автор: Aryan Chaudhary
IoT technology has impacted medical services delivery and reshaped it drastically over the years. This new book, IoT in Healthcare: Transforming Patient Care through Smart and Connected Solutions, looks at some uses of IoT in medicine and healthcare, including for remote patient monitoring, predictive analytics, personalized medicine, smart medication management, and more, helping to pave the way to revolutionize the healthcare industry. | 1 034 |
| 17 | Grokking AI Applications_True.pdf | 1 027 |
| 18 |  Grokking AI Applications: An illustrated guide for programmers and other curious people (Final Release) 2026
Автор: Andrea De Mauro
Grokking AI Applications: An illustrated guide for programmers and other curious people shows you how to create AI applications like chatbots, agents, and systems customized to use your own data—even if you’ve never built one before! Supporting his explanations with graphics and using concrete examples and hands-on implementations, author Andrea De Mauro gets you thinking about system design and mental models rather than boilerplate code and syntax debugging. You’ll quickly focus on the right level: how to manage prompts, data, and application components to get the results you want. | 991 |
| 19 | The Leadership Algorithm.pdf | 942 |
| 20 |  The Leadership Algorithm: What It Takes to Lead in the Age of Data, AI, and Intelligent Systems 2026
Автор: Shrey Shivam
In a world flooded with data but starved for insight, this book gives data leaders the blueprint they’ve been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.
Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data‑rich enterprises can fall victim to the “data illusion” and how leaders can break the cycle. | 928 |
