Название: Comprehensive Data Structures and Algorithms in C#: Learn fundamentals with 500+ code samples and problems
Автор: Suresh Kumar Srivastava, Deepali Srivastava
Издательство: BPB Publications
Год: 2026
Страниц: 646
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Data Structures and Algorithms are important subjects in any university curriculum for the computer science stream. It provides a great tool in the hands of software engineers and plays a significant role in software design and development. It is also becoming a must-have skill for many competitions and job interviews in the software industry. This book covers the topics useful for students and also for software developers working in the industry. The concepts are explained in a step-wise manner and illustrated with numerous figures, text, examples and immediate code samples, which helps in better understanding of data structures and algorithms with their implementation. There are exercises at the end of the chapters that enable students to explore more and build a better foundation of the subject. For students who want to self-study data structures and algorithms for their university curriculum subject and to enter software industry. It is also useful for software engineers who want to learn it to solve day to day problems with better software design and writing efficient code.

Название: Python Real-World Projects: Turn ideas into impactful applications through real-world Python development
Автор: Arun Prakash Shivakumar
Издательство: BPB Publications
Год: 2026
Страниц: 402
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Python is the industry standard for modern software development, known for its readability and ability to integrate into virtually every domain, from scripting to complex system design. This book is your practical guide to moving beyond Python basics and mastering the art of building complete, deployable applications. Each chapter blends essential concepts with hands-on practice, covering automation, APIs, web scraping, data visualization, database integration, and cloud deployment. You will work with popular libraries and frameworks like Flask, FastAPI, Pandas, SQLAlchemy, and BeautifulSoup while learning to structure projects, manage dependencies, and apply professional development practices. This book is for beginner to intermediate Python developers who want to move beyond basic programming and build real-world projects. It is ideal for those eager to create practical applications, strengthen their coding skills, and showcase their work through deployable, portfolio-ready solutions. Basic Python knowledge is recommended, but no prior experience with advanced tools or frameworks is required.

Название: Web Development in Rust: Develop scalable, production-ready web applications with Rust and its ecosystem
Автор: Viktor Daróczi
Издательство: BPB Publications
Год: 2026
Страниц: 468
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Rust has revolutionized modern development by providing unmatched performance and security guarantees, making it the ideal foundation for building reliable web applications. While its development has not slowed down the slightest, it already has a vibrant ecosystem to support diverse developer needs. Readers will learn to build minimalist test applications to try out frameworks, but also a full-featured concept application around the topic of ticket management. This book will walk through a regular development cycle from design to implementation, through containerization, deployment, and even expanding the application. It will help you design a complete architecture with database, caching and security, and implement its own frontend using Rust’s WebAssembly support. By the end of this book, you will transition from a beginner to a proficient Rust developer, capable of building, securing, and deploying enterprise-grade web services. You will be able to decide what technologies to use, when and also how. Alongside coding, this book will provide you with enough experience to write your own applications in Rust and make them fit the current industry standards.

Название: NumPy, Pandas, and Scikit-learn Masterclass: Applied data wrangling and Machine Learning projects with Python
Автор: Gary Hutson
Издательство: BPB Publications
Год: 2026
Страниц: 412
Язык: английский
Формат: epub (true)
Размер: 10.4 MB

Data is the driving force of today’s digital economy, and the ability to wrangle, analyze, and model it effectively has become a vital skill across industries. Python’s powerful ecosystem, led by libraries like NumPy, Pandas, and Scikit-learn, enables professionals to transform raw datasets into meaningful insights and build ML solutions that solve real-world problems. This book offers a practical, hands-on journey into mastering these libraries step-by-step. You will begin with NumPy and Pandas, learning how to manipulate arrays, DataFrames, time series, and large datasets efficiently. The focus then shifts to Scikit-learn, where you will explore classification, regression, clustering, dimensionality reduction, and time series modeling. Along the way, you will explore the practical case studies, including thyroid disease prediction, customer segmentation, and housing price estimation. You will also explore topics such as hyperparameter tuning, ensemble methods, pipelines, and deep neural networks, followed by guidance on deploying ML models with Flask, FastAPI, Docker, and Swagger.

Название: Learn AI with Python: Explore Machine Learning and Deep Learning techniques for building smart AI systems using Scikit-learn, NLTK, NeuroLab, and Keras, 2nd Edition
Автор: Gaurav Leekha
Издательство: BPB Publications
Год: 2026
Страниц: 290
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

AI has become the driving force behind innovation in almost every field — from healthcare and education to business and communication. In today’s fast-changing world, learning AI is no longer optional; it is a necessity for anyone who wants to stay ahead in the digital age. Python, with its simplicity and vast library support, makes this journey both enjoyable and practical. This new edition takes you step by step into the world of AI, ML, and Deep Learning. You will learn how to preprocess and visualize data, perform feature engineering, and implement ML algorithms from scratch. The book further guides you through natural language processing with NLTK, building chatbots, developing image classifiers with CNNs, and improving model performance through fine-tuning and optimization. This book is ideal for students, working professionals, and tech enthusiasts who want to build practical skills in AI. It is especially useful for software developers, data analysts, engineers, and researchers looking to create intelligent applications, chatbots, and predictive models using Python.

Название: Python Programming for Engineers and Scientists
Автор: Cengage
Издательство: Cengage Learning
Год: 2025
Страниц: 530
Язык: английский
Формат: pdf (true)
Размер: 11.1 MB

Cengage's Python Programming for Engineers and Scientists, 1st Edition, uses an easygoing, conversational writing style along with numerous visual aids to introduce programming and problem-solving to students of all backgrounds. This edition is designed so that the program examples gradually transition from simple snippets to realistic applications. These applications include graphics, graphical user interfaces, data visualization, event-driven programming, image processing, image manipulation and network communications. The text covers material taught in first year engineering programming and STEM courses, including five major aspects of computing: programming basics, object-oriented programming, data and information processing, the software development life cycle and contemporary applications of computing.

Название: Data Science for Healthcare: Applying ML and AI to solve real-world healthcare problems
Автор: Nitin Singh
Издательство: BPB Publications
Год: 2026
Страниц: 242
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Healthcare is under pressure to do more with less. Data science and AI are now used to predict risk, reduce avoidable admissions, speed up documentation, and guide clinical decisions. The industry is rapidly being transformed by the power of data, using advanced analytics and predictive models to improve patient care and operational efficiency. In this book, you will learn how healthcare data is captured and structured, how to clean and prepare it, and how to build predictive models for problems like sepsis risk and length of stay. The book covers natural language processing for clinical notes, computer vision for imaging, and generative AI for tasks such as question answering and denial review. It also shows how to evaluate models, monitor them in production, and design workflows that people will actually use. Predictive analytics models, developed using Python libraries such as Pandas and Scikit-learn, were applied to identify potential errors before they occurred, enabling proactive correction.

Название: GenAI on Google Cloud: Enterprise Generative AI Systems and Agents (Final Release)
Автор: Ayo Adedeji, Lavi Nigam, Sarita A. Joshi, Stephanie Gervasi
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 413
Язык: английский
Формат: epub
Размер: 64.5 MB

In today's AI landscape, success depends not just on using large language models but on moving them into production in a way that's scalable, compliant, and cost-effective. GenAI on Google Cloud: Enterprise Generative AI Systems and Agents is your hands-on guide to bridging that gap. Whether you're an ML engineer tackling your first multi-agent application or a product leader responsible for scaling a GenAI strategy, this book offers a practical game plan for taking your LLM applications from promising prototype to enterprise-grade solution. Written by practitioners with deep experience in MLOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows using Google Cloud's Vertex AI—from training and deployment to monitoring and integration. While we assume familiarity with Python programming and basic Machine Learning concepts, we’ve structured the content to be accessible to readers with varying levels of expertise. Some familiarity with Google Cloud and Vertex AI is beneficial but not a prerequisite.

Название: Edge Intelligence: Advanced Deep Transfer Learning for IoT Security
Автор: Jawad Ahmad, Shahid Latif, Wadii Boulila, Anis Koubaa, Mujeeb Ur Rehman, Imdad Ullah Khan
Издательство: Syngress/Elsevier
Год: 2026
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 10.07 MB

Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and Deep Learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and Deep Learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks.

Название: Deep Learning Applications in Operations Research
Автор: Sanjay Misra, Amit Jain, Chitresh Banerjee, Rakhi Mutha
Издательство: Routledge
Год: 2026
Страниц: 291
Язык: английский
Формат: pdf (true), epub
Размер: 45.0 MB

Deep Learning Applications in Operations Research explores cutting-edge applications of Deep Learning and optimization techniques across various domains. By exploring innovative approaches and emerging trends in advanced intelligent applications, the book examines how innovation and emerging technologies can be leveraged to drive intelligent solutions across diverse domains. As data privacy becomes increasingly paramount, Sooner-C: Lightweight Cryptographic Scheme for Data Distribution Privacy in Smart Farming introduces a novel cryptographic scheme designed to safeguard data in smart farming systems. This chapter bridges Deep Learning with cryptographic solutions, ensuring secure data exchange while maintaining efficiency in agricultural operations. An Experimental Comparison of Deep Learning Algorithms and Genetic Algorithm as Stochastic Optimizers in Operations Research presents a comparative analysis of optimization techniques. By evaluating the performance of Deep Learning algorithms alongside genetic algorithms, this chapter sheds light on their respective strengths and suitability for various operational challenges. Providing a wide-ranging overview of the field, the book helps researchers navigate the rapidly evolving landscape of advanced intelligent applications.