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 Название: Python Coding for Beginners - 19th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 44.9 MB
"Программирование на Python для начинающих" - это первый и единственный выбор, если вы начинающий и хотите узнать все, что вам нужно, чтобы начать программировать. Это независимое руководство наполнено полезными рекомендациями и пошаговыми примерами с цветными иллюстрациями, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о написании своих собственных потрясающих приложений. С этим неофициальным руководством по эксплуатации ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и улучшаете свой пользовательский опыт. | |
Разместил: Ingvar16 26-07-2024, 04:29 | Комментарии: 0 | Подробнее
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 Название: Data Science Fundamentals with R, Python, and Open Data
Автор: Marco Cremonini
Издательство: Wiley
Год: 2024
Страниц: 480
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.8 MB
Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start Data Science projects. Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out Data Science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers’ active learning. Each chapter presents one or more case studies. Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to Computer Science, and medical fields using stochastic and quantitative models. | |
Разместил: Ingvar16 26-07-2024, 03:22 | Комментарии: 0 | Подробнее
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 Название: Bio-Inspired Optimization for Medical Data Mining
Автор: Sumit Srivastava, Abhineet Anand, Abhishek Kumar, Bhavna Saini
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 326
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB
This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Bioinspired algorithms, also known as nature-inspired algorithms or evolutionary computation, are computational techniques that draw inspiration from the principles, behaviors, and mechanisms observed in biological systems. These algorithms mimic the adaptive and problem-solving abilities found in nature to tackle complex optimization problems. By emulating the evolutionary processes, swarm behaviors, neural networks, or other biological phenomena, bioinspired algorithms offer innovative and efficient problem-solving approaches. Bioinspired algorithms have gained significant importance in various fields due to their ability to handle complex and challenging problems. The application areas of these algorithms are optimization, Machine Learning, robotics, data mining, and pattern recognition. | |
Разместил: Ingvar16 26-07-2024, 02:40 | Комментарии: 0 | Подробнее
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 Название: Deep Learning: A Practical Introduction
Автор: Manel Martinez-Ramon, Meenu Ajith, Aswathy Rajendra Kurup
Издательство: Wiley
Год: 2024
Страниц: 405
Язык: английский
Формат: pdf (true)
Размер: 15.7 MB
An engaging and accessible introduction to Deep Learning perfect for students and professionals. In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of Deep Learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary Deep Learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. In this chapter, we introduce the basic elements of Python to be used throughout the book, and we will revisit the code previously introduced in Chapter 3, among other examples. Perfect for undergraduate and graduate students studying Computer Vision, Computer Science, Artificial Intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of Deep Learning and Machine Learning in general. | |
Разместил: Ingvar16 25-07-2024, 20:38 | Комментарии: 0 | Подробнее
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 Название: Deep Learning with PyTorch, Second Edition (MEAP v5)
Автор: Luca Antiga, Eli Stevens, Howard Huang
Издательство: Manning Publications
Год: 2024
Страниц: 326
Язык: английский
Формат: pdf (true), epub
Размер: 27.0 MB
The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion models. Whether you are a beginner or are looking to progress in your computer vision career, this book guides you through the fundamentals of neural networks (NNs) and PyTorch and how to implement state-of-the-art architectures for real-world tasks. The second edition of Modern Computer Vision with PyTorch is fully updated to explain and provide practical examples of the latest multimodal models, CLIP, and Stable Diffusion. You’ll discover best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement various use cases for facial keypoint recognition, multi-object detection, segmentation, and human pose detection. This book provides a solid foundation in image generation as you explore different GAN architectures. You’ll leverage transformer-based architectures like ViT, TrOCR, BLIP2, and LayoutLM to perform various real-world tasks and build a diffusion model from scratch. Additionally, you’ll utilize foundation models' capabilities to perform zero-shot object detection and image segmentation. Finally, you’ll learn best practices for deploying a model to production. By the end of this deep learning book, you'll confidently leverage modern NN architectures to solve real-world computer vision problems. This book is for beginners to PyTorch and intermediate-level machine learning practitioners who want to learn computer vision techniques using Deep Learning and PyTorch. | |
Разместил: Ingvar16 25-07-2024, 19:56 | Комментарии: 0 | Подробнее
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 Название: Rust Programming For Beginners: The Comprehensive Guide To Understanding And Mastering Rust Programming For Creating And Deploying Functional Applications
Автор: Voltaire Lumiere
Издательство: Independently published
Год: 2024
Страниц: 1326
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
With the help of the Ultimate Beginners Guide to Rust, you can Unleash the Raw Power of the Rust Programming Language and Create High-Performance, Scalable, and Fault-Tolerant Applications! Do you want to learn how to write robust programs... With the help of the Ultimate Beginners Guide to Rust, you can Unleash the Raw Power of the Rust Programming Language and Create High-Performance, Scalable, and Fault-Tolerant Applications! Do you want to learn how to write robust programs that can support millions of users at once without crashing, but you're not sure where to start? Are you a programmer who uses object-oriented programming presently and are considering switching to functional programming? One of the finest things you can do for your software career is to learn the Rust programming language if any of the following questions apply to you. This thorough introduction to the Rust programming language for beginners takes you inside the language's workings and demonstrates how to utilize its many features, from setting up Rust on your PC and executing your first code to building scalable apps. Safety and Rust's unique ownership system and strict compile-time checks ensure memory safety and prevent common bugs such as null pointer dereferencing, buffer overflows, and data races. By enforcing these safety guarantees at compile-time, Rust enables developers to write code that is less prone to crashes, security vulnerabilities, and unexpected behavior, making it an ideal choice for building robust and reliable software systems. Despite its focus on safety, Rust does not compromise on performance. By leveraging zero-cost abstractions and efficient memory management techniques, Rust enables developers to write code that is as fast and efficient as C and C++, making it well-suited for performance-critical applications such as game engines, web servers, and operating systems. | |
Разместил: Ingvar16 25-07-2024, 18:58 | Комментарии: 0 | Подробнее
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 Название: Algorithmic Trading Essentials: Python Integration for the Modern Trader
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 592
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Unlock the future of trading with "Algorithmic Trading Essentials: Python Integration for the Modern Trader" – the definitive guide for traders ready to take their strategies to the next level. Moving beyond traditional methods, this book delves deep into sophisticated techniques that bridge the gap between theoretical knowledge and actionable skills, tailored for the modern enthusiast. Becoming proficient in algorithmic trading requires a diverse skillset. A strong foundation in mathematics, statistics, and financial theory is essential. Additionally, proficiency in programming languages, particularly Python, is crucial for developing trading algorithms. Tools like Jupyter Notebooks, NumPy, and Pandas become invaluable resources in the trader's toolkit. Today, the integration of Artificial Intelligence (AI) and Machine Learning into algorithmic trading is pushing the boundaries even further. AI-driven algorithms can process massive datasets, identify patterns, and adapt to market changes in real-time. Firms are increasingly investing in AI to gain a competitive edge, employing Natural Language Processing (NLP) to analyze news and sentiment, and Reinforcement Learning to optimize trading strategies. Whether you're an experienced trader or a quantitative analyst, Algorithmic Trading Essentials provides you with the insights and methodologies to expand your trading prowess. Elevate your game with cutting-edge techniques and a robust understanding of Python integration, transforming complex concepts into practical applications tailor-made for today's markets. | |
Разместил: Ingvar16 25-07-2024, 15:46 | Комментарии: 0 | Подробнее
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Название: Автоматизация тестирования веб-приложений с помощью Selenium
Автор: Александр Кузнецов
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 273 Mb
Язык: Русский
Это базовый курс для тестировщиков, которые хотят с нуля научиться писать автоматизированные UI-тесты с помощью Selenium (самый популярный инструмент для автоматизации действий веб-браузеров). Прекрасно подойдет для тех, кто уже работает тестировщиком и не имеет опыта программирования.
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Разместил: Chipa 25-07-2024, 12:33 | Комментарии: 0 | Подробнее
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 Название: Introduction to Python Programming and Data Structures, 3rd Edition
Автор: Y. Daniel Liang
Издательство: Pearson
Год: 2024
Страниц: 800
Язык: английский
Формат: epub
Размер: 30.1 MB
Introduction to Python Programming and Data Structures focuses on the fundamentals first to help learners learn problem solving and programming in a broad context. It introduces basic programming concepts and techniques on selections, loops, and functions, before writing custom classes. Step-by-step coverage demonstrates the use of Python to solve problems. Exercises and problems with varying levels of difficulty cover interesting application areas. The best way to learn programming is by practicing, and this introduction offers many opportunities to practice creating efficient, elegant code. The 3rd Edition has new data structures topics and UpToDate content, examples and exercises that keep pace with recent trends. This book assumes that you are a new programmer with no prior knowledge of programming. So what are the benefits of learning programming using Python? Python is easy to learn and fun to program. Python code is simple, short, readable, intuitive, and powerful, and thus it is effective for introducing computing and problem solving to beginners. The best way to teach programming is by example, and the only way to learn to program is by doing. Basic concepts are explained by examples and many exercises with various levels of difficulty are provided for students to practice what they learn. Our goal is to produce a text that teaches problem-solving and programming in a broad context using a wide variety of interesting examples and exercises. | |
Разместил: Ingvar16 25-07-2024, 12:19 | Комментарии: 0 | Подробнее
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 Название: Visualizing Surveys in R
Автор: Teppo Valtonen
Издательство: CRC Press
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf (true), epub (true)
Размер: 102.2 MB
Visualizing Surveys in R is about creating static, print quality figures from survey data using R. The focus is not, for example, on statistical analysis of survey data, but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data visualization, surveys and R, the aim of this book is to bring these topics together, and offer practical instructions for visualizing surveys in R. The book is intended for researchers who regularly use surveys and are interested in learning how to seize the vast possibilities and the flexibility of R in survey analysis and visualizations. The book is also valuable for psychologists, marketeers, HR personnel, managers, and other professionals who wish to standardize and automate the process for visualizing survey data. Finally, the book is suitable as a course textbook, either more widely on survey studies, or more strictly on visualizing survey data in R. | |
Разместил: Ingvar16 25-07-2024, 02:57 | Комментарии: 0 | Подробнее
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