Books

Build powerful web applications with Python and Django.Django is one of the most capable frameworks for building modern web applications, but mastering it requires more than learning a few commands. You need to understand its architecture, database layer, request-response cycle, security model, APIs, testing practices, performance techniques, and deployment workflow.Django Unleashed: Building High-Performance Web Applications with Python provides a practical roadmap for developing Django applications from the ground up.Starting with Django fundamentals, you will learn how projects and applications are structured, how URLs connect requests to views, how templates generate dynamic interfaces, and how Django's ORM communicates with databases.The book then moves into models, QuerySets, relationships, forms, validation, authentication, authorization, static files, and media handling.A dedicated section on Django REST Framework introduces REST APIs, serializers, APIViews, ViewSets, routers, authentication, CRUD operations, filtering, pagination, and testing. You will also explore frontend integration using HTML, CSS, JavaScript, AJAX, React, and Vue.js.As your skills develop, the book introduces professional development practices including automated testing, CI/CD, security hardening, database optimization, caching, Redis, Memcached, Celery, profiling, and application scaling.The deployment chapters explain how to prepare Django applications for production and work with technologies such as Nginx, Gunicorn, HTTPS, AWS, DigitalOcean, and Heroku.With practical examples, troubleshooting guidance, real-world development concepts, and a comprehensive reference section, this book is designed to help you move from learning Django to building applications that are ready for real-world use.Learn Django. Build applications. Secure your code. Optimize performance. Deploy with confidence.

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.

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.

Build a fully functional semantic search engine from first principles using pure Python and NumPy—no heavy AI frameworks, no vector databases, just pure intuition and mathematics.

Teaser TextExplore six advanced AI applications shaping the future.Build intelligent solutions for smart farming, AI-powered content creation, predictive healthcare, smart-city traffic optimization, conversational AI, and AI-generated music.From predicting crop yields and monitoring health to optimizing traffic and creating music with GANs, this volume demonstrates the practical possibilities of modern Artificial Intelligence.Six projects. Six domains. One journey toward advanced AI innovation.

Teaser TextBuild the future with advanced Artificial Intelligence.The final volume of the 50 AI Projects series presents 10 advanced projects covering AI code review, news bias detection, blockchain voting, deepfake detection, smart farming, AI content creation, predictive healthcare, smart-city traffic optimization, conversational AI, and AI-generated music.Explore emerging AI technologies while following the complete Software Development Life Cycle—from problem definition and system architecture to development, testing, deployment, and future enhancement.50 projects. 5 volumes. One complete journey into practical AI development.

Teaser TextEnter the world of advanced AI engineering.Volume 4 presents 10 advanced Artificial Intelligence projects covering medical diagnosis, crime prediction, autonomous drones, predictive maintenance, disaster management, conversational AI, financial fraud detection, legal document analysis, smart shopping, and autonomous vehicle vision.Go beyond basic models and explore how complex AI systems can be planned, designed, developed, tested, deployed, and enhanced using a complete Software Development Life Cycle.From intelligent models to intelligent systems.

Teaser TextBuild smarter AI solutions for real-world problems.Volume 3 presents 10 intermediate-level AI projects covering intelligent tutoring, wildlife detection, healthcare scheduling, air-quality prediction, career recommendations, fire detection, adaptive e-learning, conversational AI, movie recommendations, and resume skill extraction.Each project follows the complete Software Development Life Cycle, helping readers move from problem identification and system design to AI development, testing, implementation, and future enhancement.Turn AI concepts into intelligent applications.

Teaser TextTake your AI projects to the next level.Explore 10 intermediate-level Artificial Intelligence projects covering NLP, Machine Learning, Computer Vision, prediction, classification, sentiment analysis, image recognition, and voice-based applications.From fake news detection and student performance prediction to resume ranking, plant disease identification, sign language recognition, and language translation, Vol-2 takes you deeper into practical AI development through a complete Software Development Life Cycle.Learn the concepts. Build the systems. Think like an AI developer.

Teaser TextLearn AI by building real projects.Explore 10 practical beginner-level Artificial Intelligence projects and learn how to take an idea from problem definition to design, coding, testing, implementation, documentation, and future enhancement.From chatbots and face detection to resume screening, NLP, emotion detection, and intelligent recommendation systems, Vol-1 provides a structured introduction to practical AI development through the complete Software Development Life Cycle.Don’t just study AI. Build it.

Stop building brittle LLM wrappers and start engineering production-grade autonomous agent networks.This hands-on guide takes you from fundamental Transformer mechanics to orchestrating multi-agent architectures under Kubernetes with Python. Step beyond basic prototypes to master graph-based orchestration, grammar-constrained outputs, LoRA fine-tuning, RAG, and MCP. Learn to navigate critical production trade-offs—model routing, quantization, cost control, prompt injection security, and human-in-the-loop monitoring—to deploy resilient, enterprise-ready AI systems.

Learn C, Python, and assembly — not just the syntax, but the thinking behind them. This book helps you understand computers, write real code, and see where technology meets the real world.

The model is only half the system. Learn to design the scaffolding, tools, sandboxes, verification loops, and memory that turn raw LLMs into reliable, production-grade AI agents that actually finish the job.