Название: Digital Image Processing: Illustration using Python
Автор: S Esakkirajan, T Veerakumar, Badri Narayan Subudhi
Издательство: Springer
Год: 2025
Страниц: 887
Язык: английский
Формат: pdf (true)
Размер: 107.4 MB

Digital image processing plays a crucial role in facilitating efficient storage, transmission, manipulation, and retrieval of images. Python, renowned for its open-source nature and strong community support, offers a user-friendly platform with extensive image processing capabilities through libraries such as Computer Vision and Scikit-learn. This textbook serves as a practical guide to digital image processing using Python, presenting fundamental concepts, techniques, and algorithms with illustrative examples in Python. Each chapter begins with clear learning objectives and concludes with exercises and multiple-choice questions for self-assessment. Drawing from a diverse range of sources including research articles and books, the references provided at the end of each chapter encourage further exploration. Tailored for undergraduate and postgraduate students, research scholars, engineers, and faculty specializing in image processing, it assumes a foundational understanding of set theory, matrix algebra, probability, and random variables. The reader is assumed to be familiar with basic Python programming.

Название: Tiny C Projects
Автор: Dan Gookin
Издательство: Manning Publications
Год: 2023
Страниц: 384
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 27.7 MB

Learn the big skills of C programming by creating bite-size projects! Work your way through these 15 fun and interesting tiny challenges to master essential C techniques you’ll use in full-size applications. Tiny C Projects is an engaging collection of 15 small programming challenges! This fun read develops your C abilities with lighthearted games like tic-tac-toe, utilities like a useful calendar, and thought-provoking exercises like encoding and cyphers. Jokes and lighthearted humor make even complex ideas fun to learn. Each project is small enough to complete in a weekend, and encourages you to evolve your code, add new functions, and explore the full capabilities of C. The best way to gain programming skills is through hands-on projects—this book offers 15 of them. C is required knowledge for systems engineers, game developers, and roboticists, and you can start writing your own C programs today. Carefully selected projects cover all the core coding skills, including storing and modifying text, reading and writing files, searching your computer’s directory system, and much more.

Название: Fundamentals of Software Architecture: A Modern Engineering Approach, 2nd Edition (Final Release)
Автор: Mark Richards, Neal Ford
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 546
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 41.6 MB

Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You'll explore software architecture in a modern light, taking into account all the innovations of the past decade.

Название: Recent Advances in Deep Learning Applications: New Techniques and Practical Examples
Автор: Uche Onyekpe, Vasile Palade, M. Arif Wani
Издательство: CRC Press
Год: 2025
Страниц: 374
Язык: английский
Формат: pdf (true), epub
Размер: 60.3 MB

This book focuses on Deep Learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using Deep Learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. The models were coded in Python. The neural networks were designed using the Keras and Keras-RL libraries. Mathematical operations were performed with NumPy and Scikit-learn libraries. Visualizations were realized with Matplotlib and networkX. For natural language processing (NLP), we used SpaCy.

Название: Data Science and Artificial Intelligence: Third International Conference, DSAI 2025
Автор: Chutiporn Anutariya, Marcello Bonsangue, Amalka Pinidiyaarachchi, Hakim Usoof
Издательство: Springer
Серия: Communications in Computer and Information Science
Год: 2025
Страниц: 338
Язык: английский
Формат: pdf (true), epub
Размер: 55.3 MB

This book constitutes the refereed proceedings of the Third International Conference on Data Science and Artificial Intelligence, DSAI 2025, held in Peradeniya, Sri Lanka, during November 19-21,2025. The 22 full papers and 4 invited talks were included in this book were carefully reviewed and selected from 92 submissions.They were organized in topical sections as follows: Large Language Models and Advanced NLP, Computer Vision and Deep Learning for Image/Video Analysis, Healthcare, Medicine, and Survival Analysis, Time Series Forecasting and Predictive Modeling, Explainable AI and Bias Detection, Optimization, Efficiency, and Edge Computing, Domain-Specific Applications and Case Studies. All data analysis was performed using Python (version 3.11.4). Core libraries for data handling and visualization included NumPy, Pandas, and Matplotlib. Machine Learning models were implemented using Scikit-learn and XGBoost, with neural networks built via the Keras API.

Название: Production Ready Data Science: From Prototyping to Production with Python
Автор: Khuyen Tran
Издательство: CodeCut/Leanpub
Год: 2025
Страниц: 229
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your Data Science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your Data Science projects into scalable, maintainable, and collaborative solutions. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your Data Science projects into scalable, maintainable, and collaborative solutions. Whether you’re a data scientist seeking to elevate your projects, a Machine Learning engineer building production-grade models, or a developer venturing into data-driven applications, this book is your comprehensive guide to engineering high-quality, reliable Data Science solutions. Examples in Python.

Название: The Anatomy of Go (Early Access Edition)
Автор: Phuong Le
Издательство: ByteSizeGo
Год: 2025
Страниц: 584
Язык: английский
Формат: pdf, epub
Размер: 89.5 MB

Unlock the secrets of Go's inner workings and take your skills to the next level! Become a Go expert by understanding what's happening under the hood! Go is a language of simplicity and power, but to truly master it, you need to understand what's happening under the hood. This book dives deep into how Go works internally, exploring the mechanisms that make it such an efficient and expressive language. You'll gain a profound understanding of Go's type system, memory management, concurrency model, and more. This book is designed to get you up to speed with Go. It’s aimed at readers who already have some familiarity with the language. Whether you're a seasoned Go developer looking to optimize your code or a curious learner eager to grasp Go's underlying elegance, this book is your key to unlocking Go's full potential. Filled with detailed explanations and practical examples, it's an invaluable resource for anyone serious about Go programming.

Название: AI Engineering in Practice (MEAP 3)
Автор: Richard Davies, Rafael Fischer
Издательство: Manning Publications
Год: 2025
Страниц: 152
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images! Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly “human-like” news articles, document summaries, images, computer code, and more—if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy. AI Engineering is Software Engineering that incorporates modern AI techniques, Language Models, Vector Databases, Embeddings, to solve problems involving unstructured data like text, images, and audio. It requires the same discipline as traditional Software Engineering: scalable architecture, systematic testing, robust error handling, and operational monitoring. The distinction lies not in abandoning software engineering fundamentals, but in extending them with AI-specific patterns for problems where traditional approaches fall short. No special skills with AI or Machine Learning required. Code examples are in Python.

Название: Domain-Specific Small Language Models (MEAP 7)
Автор: Guglielmo Iozzia
Издательство: Manning Publications
Год: 2025
Страниц: 470
Язык: английский
Формат: pdf, epub
Размер: 25.0 MB

Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks. When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields. Domain-Specific Small Language Models teaches you how to create language models that deliver the power of LLMs for specific areas of knowledge. To get the most benefit from this book, you’ll want to have some established skills in Python programming, with experience in PyTorch and knowledge about training/fine tuning Transformers-based language models, and willing to learn more about higher level and more user friendly API, optimizing such models, to make them ready for serving and inference on different hardware, also when on a tight infrastructure budget, or when the destination deployment system is a device, such as a laptop or a smartphone. For Machine Learning engineers familiar with Python.

Название: Software Design, 2nd Edition
Автор: Aleksandar Mratinković, Dan Piestun, Hazem Shawky Fouda
Издательство: 3G E-learning LLC
Год: 2022
Страниц: 446
Язык: английский
Формат: pdf (true)
Размер: 20.4 MB

Software engineering is the study of and practice of engineering to build, design, develop, maintain, and retire software. There are different areas of software engineering and it serves many functions throughout the application lifecycle. Effective software engineering requires software engineers to be educated about good software engineering best practices, disciplined and cognizant of how your company develops software, the operation it will fulfill, and how it will be maintained. Software development is a process of writing and maintaining the source code, but in a broader sense, it includes all that is involved between the conception of the desired software through to the final manifestation of the software, sometimes in a planned and structured process. Therefore, software development may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities that result in software products. This book talks about software development lifecycles a description/prescription for how we write software. Design is a step in this life cycle, and the book explores the implications of this.