Computer Science

Programming Ideas is an extensive collection of fun and fascinating programming projects for intermediate to advanced programmers. It closes the gap between introductory programming books and computer science textbooks by showing you how to solve a wide range of practical problems, from drawing fractals to compressing files and computing Pi, and carefully explains both the required algorithms and techniques as well as the resulting programs.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

Todos hemos oído hablar de la Web3, de las criptomonedas, de las cadenas de bloques (blockchains), de los NFT y de las DAO. Casi nadie sabe decir, con claridad, qué **es** en realidad cada una de esas cosas, ni si se trata del futuro de internet o de una manera elaborada de perder dinero. **El libro de la Web3** por fin le da una respuesta directa.

Cloud Computing: From Fundamentals to Advanced Concepts is a comprehensive guide that takes you from the basics of cloud computing to advanced topics including virtualization, cloud architecture, cloud security, cloud storage, Service-Oriented Architecture (SOA), cloud governance, benchmarking, analytics, and real-world cloud implementations.Written for BCA, B.Tech, MCA students.

Discover the mathematics powering the future of Artificial Intelligence and cybersecurity.Algebraic Foundations of AI: Groups, Rings, and Fields in Security & Cryptography reveals how abstract algebra forms the backbone of modern AI security, cryptographic systems, blockchain technologies, privacy-preserving machine learning, federated learning, and post-quantum cryptography.

Practice is the key to mastering Operating Systems.Mastering Operating System Concepts QUESTION BANK: 1000+ Conceptual Questions for Students and Professionals is a comprehensive practice resource containing over 1000 carefully designed questions covering every major Operating System topic.Featuring chapter-wise MCQs, short-answer questions, descriptive questions, numerical problems.

Take your Operating Systems knowledge to the next level.Operating Systems Unlocked: Concepts, Structures, and Practical Approaches – Volume 2 explores the advanced topics that power today's computing world, including file systems, storage management, Linux and Windows architecture, operating system security.

Discover how modern operating systems actually work.From process scheduling and CPU management to multithreading, synchronization, memory management, virtual memory, and page replacement algorithms, Operating Systems Unlocked: Concepts, Structures, and Practical Approaches – Volume 1 transforms one of computer science's most challenging subjects into an engaging and easy-to-understand learning.

Everyone has heard of Web3, crypto, blockchains, NFTs, and DAOs. Almost no one can say, clearly, what any of it actually is — or whether it's the future of the internet or an elaborate way to lose money. The Web3 Book finally gives you a straight answer.

Master Discrete Mathematics — the foundation of Computer Science. Comprehensive guide specially designed for BCA & MCA students with detailed explanations, solved examples, real-world applications, and exam-focused practice. Perfect for university exams, GATE, and interviews.

Artificial Intelligence doesn't become intelligent by chance—it learns through optimization.Every neural network improves because of Gradient Descent.Every recommendation system depends on matrix factorization.Every deep learning model relies on numerical computation.Numerical Methods with Artificial Intelligence Applications – Volume 2 takes you beyond the fundamentals and into the advanced mathematical engines driving modern AI.Discover how optimization algorithms like Adam, RMSProp, Newton's Method, and Conjugate Gradient train intelligent systems. Explore numerical linear algebra, probabilistic AI, evolutionary computation, Python implementations, and real-world AI case studies that reveal the mathematics behind today's most powerful technologies.Whether you're building machine learning models, conducting AI research, or strengthening your computational skills, this volume equips you with the advanced numerical techniques essential for the next generation of intelligent systems.Master the algorithms that teach machines how to learn.

Artificial Intelligence is built on mathematics—and numerical methods are at its core.What happens behind gradient descent? How do optimization algorithms converge? Why are interpolation, differentiation, and integration essential for machine learning?Discover the mathematical engine that powers modern AI.Numerical Methods with Artificial Intelligence Applications (Volume 1) transforms traditional numerical methods into practical AI tools through real-world examples, optimization techniques, and machine learning applications.Whether you're a student, researcher, educator, or AI enthusiast, this book will help you understand the algorithms that make intelligent systems possible.

AIエージェントの構築が、これほど容易だった時代はない。そして、実際に機能するものを作ることが、これほど難しい時代もない。本書は言語モデルの基礎から本番対応マルチエージェントシステムまで、失敗が起こる前に予測し、壊滅的な障害ではなく優雅な劣化を設計し、完全なアーキテクチャの所有権を確立するための深さをもって、あなたを導く。ペーパーバック版はamazonにて好評発売中。

A practical .NET/C# guide to building Genetic Algorithms from scratch and applying them to real-world optimization problems with 27 complete projects, visual demos, and full source code.

This book is written for you who want to build professional C# software — not just codethat compiles, but code that can be maintained, tested, scaled, and explained to others.