Books

Start your programming journey with Visual Basic .NET.Have you always wanted to learn programming but found programming languages difficult or confusing? Visual Basic .NET for Beginners: A Step-by-Step Guide to Learning VB.NET is designed to provide a simple, structured, and practical introduction to VB.NET.This book takes you step by step through the fundamentals of programming and gradually introduces more advanced concepts. You will learn how to work with variables, data types, operators, conditional statements, loops, procedures, functions, arrays, and other essential programming features.The book also introduces the principles of event-driven programming and Object-Oriented Programming, helping you understand how modern applications are designed and developed.As you progress, you will explore practical application development concepts, user interfaces, database connectivity, error handling, debugging, and other important programming skills.The learning approach is focused on understanding and practice. Instead of simply presenting programming theory, the book encourages you to work with examples, experiment with code, identify errors, and develop solutions to programming problems.This makes the book useful for students, beginners, educators, and anyone who wants to build a foundation in VB.NET.Whether you are studying programming as part of an academic course, preparing for practical examinations, learning software development, or exploring the .NET ecosystem, this book can serve as a useful learning companion.You do not need to be an experienced programmer to begin. The concepts are introduced progressively so that you can build confidence as you move from basic programming statements toward complete application development.Learn the fundamentals. Practice the code. Understand the logic. Build your first VB.NET applications.

Understand the threats. Learn the defenses. Build a stronger foundation in Network Security.Modern organizations depend on computer networks for communication, business operations, cloud services, applications, and data exchange. With this growing connectivity comes an equally important challenge: protecting networks from unauthorized access, attacks, vulnerabilities, and security incidents.Network Security: A Comprehensive Guide for Beginners and Advanced Learners provides a structured learning journey for students and aspiring security professionals who want to understand how modern networks are protected.The book begins with the fundamentals of networking and network security, covering network topologies, OSI and TCP/IP models, network devices, IP addressing, subnetting, protocols, and ports. It then moves into common cyber threats and vulnerabilities, including malware, phishing, social engineering, DoS and DDoS attacks, Man-in-the-Middle attacks, weak authentication, and software vulnerabilities.Readers will learn important security principles such as the CIA Triad, AAA, Defense-in-Depth, Least Privilege, and Risk Management, followed by an introduction to cryptography, encryption, digital signatures, certificates, TLS, IPsec, and PKI.The book also explores firewalls, IDS, IPS, SIEM, VPNs, wireless security, Network Access Control, web application security, HTTPS, secure development practices, incident response, digital forensics concepts, disaster recovery, and business continuity.The final chapters look toward the future, introducing Zero Trust, Next-Generation Firewalls, AI and Machine Learning in cybersecurity, Cloud Security, and IoT Security.For students, the book provides a strong academic foundation. For aspiring professionals, it introduces important technologies, responsibilities, career paths, and security practices.The goal is not simply to learn how attacks occur, but to understand how responsible security professionals identify risks, protect systems, respond to incidents, and continuously improve security.Learn the fundamentals. Understand the risks. Think like a security professional.

Take your Python skills beyond the basics. Practice advanced concepts. Build stronger programming confidence.Mastering Advanced Python Programming QUESTION BANK: 1000+ Conceptual Questions for Students and Professionals is designed for learners who are ready to move beyond basic Python programming and explore the concepts used in practical software development.Advanced Python becomes easier when concepts are studied systematically and reinforced through continuous practice. This question bank provides a structured way to test knowledge, identify weak areas, revise important concepts, and strengthen programming skills.The book covers 12 major areas of advanced Python programming, beginning with advanced data structures and progressing through iterators, generators, decorators, closures, lambda functions, functional programming tools, error handling, file handling, context managers, modules, packages, virtual environments, multithreading, multiprocessing, networking, sockets, regular expressions, databases, and web APIs.Each chapter provides a balanced combination of MCQs, short-answer questions, mid-length conceptual questions, and programming questions with answers. This makes the book useful not only for examination preparation but also for practical programming practice and technical interview preparation.Students pursuing BCA, MCA, B.Tech, M.Tech, Computer Science, Information Technology, and related programmes can use the question bank for university examinations, internal assessments, assignments, viva preparation, practical tests, and self-study.Aspiring Python developers can use it to revise important concepts frequently encountered in programming interviews and technical assessments. Educators can also adapt the questions for classroom quizzes, assignments, question papers, and laboratory activities.The programming questions encourage readers to move from theory to implementation and understand how advanced Python features can be applied to real programming problems.Whether you are preparing for an examination, strengthening your Python knowledge, or getting ready for a software development interview, this book provides a practical framework for focused revision.Learn the concept. Attempt the question. Write the program. Analyze the solution. Improve your Python skills.

Test your knowledge. Strengthen your concepts. Master Python OOP.Are you preparing for a Python programming examination, university assessment, technical interview, coding test, or professional certification? Mastering Python OOPs QUESTION BANK: 1000+ Conceptual Questions for Students and Professionals provides a comprehensive collection of questions designed to help you practice and revise Object-Oriented Programming with Python.This question bank goes beyond simple multiple-choice practice. It combines MCQs, short-answer questions, mid-length conceptual questions, and programming questions with answers, giving learners a balanced approach to theoretical understanding and practical problem-solving.The book covers 12 important areas of Python Object-Oriented Programming, beginning with the fundamentals of classes, objects, self, and __init__, and progressing through encapsulation, inheritance, polymorphism, abstraction, constructors and destructors, class methods, static methods, nested classes, operator overloading, magic methods, and advanced OOP concepts.Each chapter follows a consistent question structure, making the book convenient for classroom teaching, self-study, assignments, revision, viva preparation, and examination practice.Students pursuing BCA, MCA, B.Tech, M.Tech, Computer Science, Information Technology, and related programmes can use the question bank to assess their understanding and identify areas requiring further study. Teachers and instructors can also use the questions as a resource for quizzes, assignments, internal assessments, practical examinations, and classroom discussions.For aspiring software professionals, the book provides additional practice with concepts that frequently appear in programming interviews and technical assessments.With more than 1,000 conceptual and programming-focused questions, this book is designed to turn passive learning into active practice.Read the concepts. Attempt the questions. Analyze the answers. Practice the programs. Build confidence.Whether you are beginning your Python OOP journey or revising for an important examination or interview, this question bank is designed to help you practice systematically and develop a stronger command of Python Object-Oriented Programming.

Master Python Object-Oriented Programming with confidence.Are you learning Python and finding classes, objects, inheritance, polymorphism, encapsulation, and abstraction confusing? Mastering Python OOP: A Beginner's Guide to Object-Oriented Programming is designed to make these essential programming concepts easier to understand and apply.This practical guide takes you step by step from the fundamentals of Object-Oriented Programming to more advanced Python OOP concepts. Instead of overwhelming beginners with complex terminology, the book explains each concept in a clear and structured way, supported by practical examples.You will begin by understanding what OOP is and why it is important in modern software development. You will then learn how to create classes and objects, work with the __init__ method, understand instance and class attributes, and apply encapsulation using properties and getter and setter techniques.The book continues with inheritance, method overriding, the super() function, polymorphism, and abstraction using Python's abc module. You will also discover Python special methods such as __str__ and __repr__, operator overloading, collections within classes, iterators, decorators, metaclasses, and introductory design patterns such as Singleton and Factory.Practical learning is at the heart of this book. The examples are designed to help you understand not only what an OOP concept is, but also when and why it can be useful.The book also includes interview questions, common errors, debugging tips, and additional resources.Whether you are a student, beginner programmer, educator, or aspiring Python developer, this book can serve as a valuable companion for building a strong foundation in Python Object-Oriented Programming.Learn the concepts. Understand the structure. Write better Python programs.

A practical, illustrated beginner guide covering tiny homes, container homes, layouts, space‑saving design, insulation, airflow, budgeting, and a printable starter checklist.

AI is transforming medicine — this book shows you how to do it right. Clinical Machine Learning bridges cutting-edge AI techniques and real-world healthcare, delivering a comprehensive roadmap to building, validating, and deploying trustworthy ML systems in medicine. From data curation and model development to fairness, calibration, and regulation, it covers the full lifecycle of clinical ML with clarity, depth, and uncompromising rigor.

A simple, illustrated guide for growing herbs, greens, and vegetables in small spaces all year long. Perfect for beginners, apartment gardeners, and anyone wanting a sustainable, low‑maintenance growing system.

Master Deep Learning with TensorFlow and Keras. Learn neural networks, CNNs, RNNs, LSTM, GRU, Autoencoders, GANs, Transfer Learning, Attention, and Transformers through a structured journey from fundamentals to advanced architectures.

Running NetBSD in production is one thing. Running it under serious traffic is another. NetBSD at Scale shows how to design, secure, tune and operate infrastructure built for real workloads. From architecture and automation to high availability and disaster recovery, it is a practical guide for engineers who need systems that keep working.

Assembly programming is actually a lot like Minecraft or Terraria because you start the game with nothing and have to slowly build your tools to make something useful. I started Assembly in 2024 and have already built a series of tools I personally use on both DOS and Linux operating systems. Through the course of this book, I will be slowly showing you how I can port everything in the Linux version of Assembly Arithmetic Algorithms to Windows.

You already know how to build software.You can design APIs, debug production incidents, reason about latency, operate databases, and ship features that people rely on. But AI engineering interviews ask a different set of questions:How do you design a RAG system that does not confidently invent answers? When should you use an agent—and when is a simple workflow safer? How do you evaluate an LLM feature when quality can decline without an error message? How do you control token costs, defend against prompt injection, and safely deploy a prompt change?AI Engineer – Interview Book bridges the gap between being a capable software engineer and being ready for an AI engineering interview.Learn how to reason about models, retrieval, agents, evaluations, cost, latency, safety, and production failure modes. Practice answers out loud. Learn the trade-offs behind the right answer—not just the vocabulary.Stop preparing for yesterday’s system-design interview. Start preparing to build AI systems that work in the real world.

Build fast, modern web applications with Python and FastAPI. Starting with your first endpoint, you’ll develop a real application step by step while learning databases, authentication, WebSockets, testing, Docker and deployment. By the end, you’ll know how to turn Python code into secure, production-ready systems.

Build real-time web apps that hold up beyond the demo. This hands-on guide takes you from WebSocket fundamentals and Socket.IO essentials to security, Redis scaling, monitoring and production deployment. Learn how the pieces work, why they matter and how to build fast, reliable systems ready for serious traffic.

Build web scrapers that survive the real world. This hands-on guide takes you from Scrapy fundamentals to scalable production systems, with practical patterns for asynchronous crawling, clean data pipelines, testing, deployment and resilient architectures. Packed with runnable Python examples, it gives you the skills to scrape smarter, faster and at scale.