Название: ASYNC Rust: Unleashing the Power of Fearless Concurrency
Автор: Maxwell Flitton, Caroline Morton
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 315
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Already popular among programmers for its memory safety and speed, the Rust programming language is also valuable for asynchrony. This practical book shows you how asynchronous Rust can help you solve problems that require multitasking. You'll learn how to apply async programming to solve problems with an async approach. You will also dive deeper into async runtimes, implementing your own ways in which async runtimes handle incoming tasks. Asynchronous programming in Rust, often referred to as Async Rust, is a powerful paradigm that allows developers to write concurrent code that is more efficient and scalable. Rust’s type system and ownership model provide the safety guarantees that we all love. However, mastering async Rust requires an understanding of specific concepts, such as futures, pinning, and executors. This book will guide you through these concepts, equipping you with the knowledge needed to apply async to your own projects and programs. This book is aimed at intermediate Rust developers who want to learn how to improve their applications and programs by using the range of asynchronous functionality available to them.

Название: The Data Science Handbook, 2nd Edition
Автор: Field Cady
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: True/Retail EPUB, PDF
Размер: 10.1 MB

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in Data Science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Data Science is a quickly evolving field, and this 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. I have also updated my treatment of Spark to cover its new DataFrame interface, and reduced the emphasis on Hadoop since it is on the decline. Other changes include a reduced emphasis on Bayesian networks (which have waned in popularity with the rise of Deep Learning), a switch from Python 2 to Python 3, and numerous improvements to the prose. The example code in this book is all in Python, except for a few domain‐specific languages such as SQL.

Название: 300+ Python Algorithms: Mastering the Art of Problem-Solving
Автор: Hernando Abella
Издательство: Aluna Publishing House
Год: 2024
Страниц: 399
Язык: английский
Формат: pdf, epub (true), azw3, mobi
Размер: 10.1 MB

This book provides an essential collection of algorithms designed to help you solve a wide range of programming problems. It's perfect for beginners looking to gain key knowledge and improve their skills efficiently. With clear and practical explanations, this book serves as an excellent guide for those just starting their programming journey, offering a solid foundation to help them progress quickly. Why you should study algorithms: Problem-Solving Skills: Algorithms help you approach and solve complex problems efficiently, which is essential in programming and real-life applications. Efficient Coding: Understanding algorithms allows you to write code that performs faster and uses fewer resources, leading to optimized software. Foundational Knowledge: Algorithms form the backbone of computer science, giving you a strong foundation for advanced topics like Artificial Intelligence, Machine Learning, and cryptography. Software Efficiency: By studying algorithms, you learn how toimprove the overall efficiency of the software you build, which can lead to better user experiences and lower operational costs.

Название: Machine Learning Evaluation: Towards Reliable and Responsible AI, 2nd Revised Edition
Автор: Nathalie Japkowicz, Zois Boukouvalas
Издательство: Cambridge University Press
Год: 2025
Страниц: 427
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

As Machine Learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences. The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable Machine Learning products. In addition to standard classification, the book discusses unsupervised learning, regression, image segmentation, and anomaly detection. The book also covers topics such as industry-strength evaluation, fairness, and responsible AI. Implementations using Python and Scikit-learn are available on the book's website.

Название: Атлас искусственного интеллекта: руководство для будущего
Автор: Кейт Кроуфорд
Издательство: АСТ
Серия: Программирование для всех
Год: 2023
Страниц: 321
Язык: русский
Формат: pdf, fb2, epub
Размер: 11.3 MB

Искусственный интеллект стал неотъемлемой частью современного мира, помогая людям в множестве сфер – от медицины до тяжелой промышленности. Оптимизация рабочих процессов, скорость выполнения, машинная точность в расчетах или креатив в творчестве – кажется, что ИИ стал совершенным инструментом для любой задачи. Кейт Кроуфорд – старший научный сотрудник Microsoft, профессор Калифорнийского университета – предлагает нам книгу-исследование, обращая наше внимание на темную сторону успеха и скрытые издержки искусственного интеллекта. При контролируемом машинном обучении инженеры предоставляют компьютеру маркированные обучающие данные. Затем в игру вступают два различных типа алгоритмов: обучающие и классифицирующие. Обучающий алгоритм – это алгоритм, который учится на помеченных данных; он сообщает классификатору, как лучше проанализировать связь между новыми входными данными и желаемым конечным результатом (или предсказанием). Например, он может определить: содержится ли на изображении лицо, является ли электронное письмо спамом. Существует множество видов моделей машинного обучения, включая нейронные сети, логистическую регрессию и деревья решений. Инженеры выбирают модель в зависимости от того, что они создают – будь то система распознавания лиц или средство определения настроений в социальных сетях, – а затем подбирают ее под свои вычислительные ресурсы.

Название: Data Structure in Python: Essential Techniques
Автор: Ed Norex
Издательство: HiTeX Press
Год: 2024
Страниц: 566
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Dive into the advanced world of Python data structures with "Data Structure in Python: Essential Techniques," a comprehensive guide designed to elevate your programming skills to the next level. From the fundamental constructs of lists and tuples to the complex landscapes of trees, graphs, and hashing, this book offers an in-depth exploration of Python's powerful data manipulation capabilities.Structured into focused chapters, each delving into different data structures, this book meticulously breaks down advanced techniques such as implementing stacks and queues, mastering dictionary and set operations, advanced string manipulation, and explores the intricacies of searching and sorting algorithms.Whether you're a seasoned developer looking to refine your expertise or an intermediate programmer keen on tackling complex programming challenges, this book serves as an indispensable resource. Through practical case studies, it bridges the gap between theoretical knowledge and real-world application, equipping you with the know-how to optimize data access, enhance program efficiency, and develop scalable Python applications.

Название: Python Programming Bible [3 in 1] The Complete Crash Course to Learn and Explore Python beyond the Basics. Including Examples and Practical Exercises to Master Python from Beginners to Pro
Автор: James P. Meyers
Издательство: Independently published
Год: 2024
Страниц: 702
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Master Python programming and develop a highly profitable skill with this complete beginner’s crash course on coding! Are you curious about learning Python for your career or hobbies? Do you want to learn how to develop web applications, code games, manage data, and create machine learning algorithms? Or are you searching for a simple & straightforward crash course to help you add this valuable programming skill to your virtual toolbelt? As a favorite of programmers and web developers across the globe, Python is a powerful and versatile programming language that has an immense amount of functionality. Its focus on simplicity and readability makes it perfect for absolute beginners – but how can you begin learning the fundamentals of this amazing language, access the vast library of APIs, and write your first code? Packed with dozens of user-friendly exercises and easy-to-understand explanations, this beginner-friendly crash course arms readers with an all-in-one guide to mastering Python programming. Whether you dream of designing video games, building stylish websites, or landing a lucrative job in the ever-growing tech industry, this Python Programming Bible combines 3 unique books to give you a comprehensive overview of Python – from basic functions to mobile app development, GUIs, Big Data & more.

Название: Principles of Data Structures Using C and C++
Автор: Julio Martell
Издательство: Independently published
Год: 2024
Страниц: 977
Язык: английский
Формат: epub
Размер: 10.1 MB

"Principles of Data Structures Using C and C++" provides a comprehensive exploration of essential data structures and algorithms, tailored for both beginners and experienced programmers. This book bridges theory and practical application, offering clear explanations and hands-on examples in both C and C++. Readers will learn to: •Understand fundamental data structures, including arrays, linked lists, stacks, queues, trees, and graphs; •Implement various algorithms for sorting, searching, and manipulating data efficiently; •Analyze the time and space complexity of algorithms to optimize performance; •Utilize object-oriented programming principles in C++ to create robust data structures; •Gain practical experience through coding exercises and real-world applications. Whether you're a student seeking to master the principles of data structures or a professional looking to enhance your programming skills, this book serves as an invaluable resource for understanding how to effectively organize and manage data in software development.

Название: Fundamentals of Software Engineering: From Coder to Engineer (Fourth Early Release)
Автор: Nathaniel Schutta, Dan Vega
Издательство: O’Reilly Media, Inc.
Год: 2024-09-19
Язык: английский
Формат: epub
Размер: 10.1 MB

What do you need to know to move from developer to senior engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your success as a software engineer. With this practical book, you'll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Jakub Pilimon guide your journey with pointers to deep dives into specific topic areas. To understand the skills that really matter as a software engineer, this is the guide you'll want to read the first week at your first job. It also serves as a handy reminder when you move to a new organization or to a new position in your current organization. Ultimately, this book is targeted at new developers, and we wrote it with them foremost in our minds. We hope this book will show you the full picture of what it means to be more than a “coder”, to evolve into a software engineer and, more importantly, to help your career advancement. But it isn’t just newly minted developers who benefit from mastering the fundamentals. This book will also help more seasoned developers advance beyond their first job and grow their career to a senior role.

Название: Homomorphic Encryption for Data Science (HE4DS)
Автор: Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Издательство: Springer
Год: 2024
Страниц: 311
Язык: английский
Формат: pdf (true), epub
Размер: 34.0 MB

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The authors present various techniques to leverage the unique features of FHE and to overcome its characteristic limitations. Homomorphic encryption (HE) is a cryptographic primitive that provides unique security guarantees in the privacy enhancing technologies (PETs) ecosystem. HE is a special type of encryption that allows computations to be performed on encrypted data. For example, it enables additions, multiplications, or both on ciphertexts, where the resulting ciphertext can be decrypted to have the same value as if the mathematical operations were performed directly on the encrypted data. This property is called homomorphism, hence the name of the HE primitive. This book aims to simplify the FHE world for those who are interested in privacy preserving Data Science tasks, and for an audience that does not necessarily have a deep cryptographic background, including undergraduate and graduate-level students in Computer Science, and data scientists who plan to work on private data and models.