Название: Design Patterns Made Easy: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 237
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

This book offers a clear and practical guide to understanding and applying design patterns in object-oriented software development. It begins by establishing a strong foundation in essential object-oriented principles, including encapsulation, inheritance, polymorphism, and the SOLID guidelines. These foundational concepts are introduced to support effective software design and to frame the context in which design patterns are most valuable. The core chapters systematically present creational, structural, and behavioral design patterns. Each pattern is explained through its purpose, structural details, participating components, and the implications of its use. Concrete code examples demonstrate real-world applications, enabling readers to identify situations where each pattern can significantly enhance maintainability, scalability, and code clarity. The book also addresses pattern selection strategies, integration into existing codebases, and common mistakes to avoid. Designed for software developers, engineers, computer science students, and technical leaders, this book serves as both a comprehensive introduction and a practical reference.

Название: Data Cleaning with Python for Data Analytics and Modeling: Master the Art of Data Cleaning, Transformation, and Preparation for Robust Analytics and Machine Learning Models
Автор: Ahmed Khorshid
Издательство: Independently published
Год: December 27, 2024
Страниц: 190
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

In the world of Data Science, clean data is the foundation of accurate analysis and reliable Machine Learning models. "Data Cleaning with Python" is your ultimate guide to mastering the essential techniques and tools for preparing data for analytics and modeling. Whether you're a data analyst, data scientist, or Machine Learning engineer, this book equips you with the skills to handle messy, incomplete, and inconsistent datasets with confidence. This comprehensive guide covers everything from the basics of data cleaning to advanced techniques, including handling missing data, removing duplicates, detecting outliers, and transforming data for Machine Learning. With practical examples, step-by-step tutorials, and real-world case studies, you'll learn how to use Python's powerful libraries like Pandas, NumPy, Scikit-learn, and OpenRefine to clean and preprocess data efficiently.

Название: Linux Shell Scripting Simplified: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex L.L.C.
Год: 2025
Страниц: 256
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Linux Shell Scripting Simplified: A Practical Guide with Examples provides a comprehensive and accessible introduction to the principles and practices of shell scripting in Linux environments. The book presents fundamental concepts, step-by-step explanations, and real-world examples, equipping readers with the practical knowledge necessary to automate tasks, manage files, and enhance efficiency on the command line. Starting from the basics of the shell environment, the guide gradually builds up to advanced scripting techniques, ensuring a smooth progression suitable for learners at all levels. Each chapter covers a key aspect of shell scripting, including navigation of the shell, working with essential commands, handling variables, reading user input, designing logical flows with conditionals and loops, and creating modular scripts with functions. The text integrates topics such as file and directory management, text processing, automation with cron, and best practices for debugging and security.

Название: Efficient Code with C#
Автор: Onyx Rose
Издательство: Independently published
Год: 2025
Страниц: 392
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the full potential of C# by learning how to write faster, cleaner, and more efficient code. Efficient Code with C# is your go-to resource for taking your development skills to the next level. Whether you're optimizing performance, managing memory more effectively, or building scalable applications, this book provides clear, practical guidance grounded in real-world experience. Designed for intermediate to advanced developers, this book focuses on writing code that not only works but excels—code that is maintainable, robust, and ready for production. You’ll explore critical concepts such as memory management, multithreading, data structure selection, and performance profiling, all within the C# and .NET ecosystem. With hands-on examples, expert tips, and proven techniques, you'll gain the confidence to make smarter coding decisions and build high-performance applications that stand the test of time. If you're serious about understanding C#, this book is an essential addition to your professional toolkit.

Название: Guide to Distributed Algorithms: Design, Analysis and Implementation Using Python
Автор: K. Erciyes
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 57.2 MB

The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases. The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing. Python programming language is selected for the implementation because of its simplicity and for having rich set of libraries that aid to hide low level details such as data manipulations. The mpi4py module of Python is used for distributed algorithm implementations which provides interface for the commonly used Message Passing Interface (MPI) routines. For almost all algorithms, we provide Python code that can be modified and tested for various inputs. All of the Python code can be easily transported to a real distributed environment with the possible modification of send and receive communication procedures of the actual environment, a simple way to achieve this goal is to use the basic socket communications.

Название: Explainable AI and Blockchain for Secure and Agile Supply Chains: Enhancing Transparency, Traceability, and Accountability
Автор: Ajay Kumar Sharma, Narasimha Rao Vajjhala, Rakshit Kothari, Rajasekhara Mouly Potluri
Издательство: CRC Press
Год: 2025
Страниц: 236
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, these chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain, ensuring data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders. This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.

Название: Самоучитель "слепой" печати. Учимся быстро набирать тексты на компьютере
Автор: Гладкий Алексей
Издательство: Litres
Год: 2013
Формат: rtf, fb2
Размер: 10,7 мб
Качество: хорошее
Язык: русский

Данная книга адресована пользователям, желающим в короткие сроки освоить методику быстрого набора текста на персональном компьютере. Помимо теоретического материала, в книге приводится большое количество практических упражнений.

Название: Python Uncoiled: From Print Statements to Power Scripts
Автор: Scott Markham
Издательство: Independently published
Год: 2025
Страниц: 224
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Tired of staring at blinking cursors and wondering what sorcery lies behind all those lines of code? Wish you could make your computer do literally anything besides throw errors and play Minesweeper? Welcome to Python Uncoiled: From Print Statements to Power Scripts—your all-access pass to turning Python from a mystery into your personal code-powered sidekick. This isn't your average dry-as-dust programming book. Nope—we're slinging jokes, wrangling data, scraping websites, writing scripts that do your chores (well, digital ones), and having a blast along the way. Whether you're a total newbie or a techie looking to finally "get" Python, this book walks you through loops, functions, APIs, automation, debugging, and even building real-world power scripts that save time, impress coworkers, and make you feel a little bit like a wizard.

Название: Hands-On Python and TensorFlow: A Practical Guide to Deep Learning
Автор: Sarful Hassan
Издательство: MechatronicsLAB
Год: 2025
Страниц: 362
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Hands-On Python and TensorFlow: A Practical Guide to Deep Learning" is the ultimate resource for learning deep learning with Python and TensorFlow. This book is perfect for beginners and experienced developers alike who want to master Machine Learning and AI. Learn to build real-world Deep Learning models, including image classification, object detection, time series forecasting, and more, using TensorFlow and Python. Inside, you’ll find clear, easy-to-follow explanations of core Deep Learning concepts like neural networks, tensors, model training, and optimization techniques. With practical, hands-on examples and exercises, you’ll gain the skills to develop, train, and deploy Deep Learning models for various applications. Whether you're interested in AI, Machine Learning, or neural network development, this book will equip you with the knowledge and experience to build advanced Machine Learning models using TensorFlow. By the end of the book, you’ll be able to apply these techniques to solve complex problems and create AI-powered applications.

Название: Introduction to Artificial Intelligence
Автор: Bakht Muhammad
Издательство: Independently published
Год: October 14, 2024
Страниц: 237
Язык: английский
Формат: epub
Размер: 39.0 MB

"Introduction to Artificial Intelligence" by Bakht Muhammad is more than just a book—it’s your passport to the future! Dive into 237 pages of thrilling exploration into the world of AI, where technology meets imagination. Bursting with vivid pictures, detailed diagrams, and crystal-clear explanations, this guide transforms complex ideas into something you’ll not only understand but enjoy. Whether you’re starting from scratch or leveling up your knowledge, this book makes AI accessible and exciting. This book provides a comprehensive guide to understanding the fundamentals of Artificial Intelligence (AI). From Machine Learning to natural language processing (NLP), it introduces core concepts in an easy-to-understand way, making it perfect for beginners. Whether you're a student, tech enthusiast, or a professional looking to explore AI, Introduction to Artificial Intelligence offers practical insights into how AI is shaping the future of technology.