Название: Изучаем основы Python. Практический курс для дата-аналитиков
Автор: Меликов П.И.
Издательство: Ай Пи Ар, EDP Hub (Идипи Хаб)
Год: 2023
Cтраниц: 480
Формат: pdf
Размер: 42 мб
Язык: русский

Издание представляет собой практический курс, состоящий из 13 разделов (12 из которых интерактивные — для среды JupyterLab). Курс содержит введение в основы языка Python с дальнейшим упором на аналитику данных (работа с наборами данных, статистика, язык SQL, метрики и машинное обучение).

Название: Pragmatic Type-Level Design
Автор: Alexander Granin
Издательство: Leanpub
Год: 2024 (v.0.9.1)
Страниц: 331
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Practical introduction into type-level programming: design principles, design patterns, methodologies, approaches. An approachable, well-written, practice-oriented, academism-free guide into programming with types. How to build useful real-world type-level programs with low complexity and low risks. Pragmatic Type-Level Design is a book about programming in types, about the discipline of Software Design, lifted onto the level of types, and type-level approaches useful in real practice. I aim to provide a well-written and well-structured source of knowledge about type-level design. I’m not only talking about type-level features but also providing a reasoning framework for making the narrative complete and comprehensive. The central philosophy of this book - pragmatism - is used to build a practice-first methodology on how to approach types and not drown in the related complexity. The type-level design is difficult on its own, type-level features in various languages are difficult as well, and there is no need to raise the learning bar even more. Type-level programming has been around for a while, with many languages boasting rich type systems. It’s a domain beloved by many, especially in Haskell, where types are one of the language’s most compelling features. Haskell developers often gravitate toward the mathematical foundations of types, like Category Theory and Type Theory. Good old Haskell 2010 introduces a lot of type-level features. Type definitions, type classes, type variables, constraints, kinds, phantom types, and algebraic data types. With dozens of modern GHC extensions, it becomes orders of magnitude more powerful. Type-level literals, type families, multi-parameter type classes, generalized algebraic data types, different options for type-level polymorphism, et cetera, et cetera – it’s too long to enumerate all these tools, what to say about the explosion of all possible ways to combine them. The book will be useful for developers who want to start doing real things on the type level.

Название: MATLAB Programming: Advanced Data Analysis, Visualisation, and Large-Scale Applications for Research and Development
Автор: Theophilus Edet
Издательство: CompreQuest Books
Год: 2024
Страниц: 734
Язык: английский
Формат: epub
Размер: 10.1 MB

Unleash Your Potential with MATLAB: Advanced Tools for Innovation. MATLAB Programming: Advanced Data Analysis, Visualization, and Large-Scale Applications for Research and Development is your ultimate guide to mastering MATLAB. This powerful programming environment is designed for engineers, scientists, and researchers, enabling advanced data analysis, stunning visualizations, and large-scale applications with ease. If you’re ready to elevate your programming skills, this book is for you.

Название: Kotlin Exercises
Автор: Marcin Moskała
Издательство: Leanpub
Год: 2024-10-10
Страниц: 351
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

A collection of over 100 Kotlin exercises. This is a collection of exercises and solutions from Kotlin Essentials, Functional Kotlin, Kotlin Coroutines: Deep Dive, and Advanced Kotlin. They include all the knowledge needed to solve them. If you want to learn Kotlin, I recommend you to read them. Though if you are only interested in solving exercises, feel free to use those presented in this book. This is a collection of exercises that were designed to practice the knowledge presented in the Kotlin Essentials book. They are not very difficult, but they will help you to learn and practice some essential knowledge. Some might seem a bit boring, but practicing basic knowledge in separation is sometimes like that. Keep in mind that soon this knowledge will be used to do things that are much more interesting.

Название: Effective Kotlin : Best practices - Second Edition
Автор: Marcin Moskała
Издательство: Leanpub
Год: 2024-10-10
Страниц: 385
Язык: английский
Формат: pdf (true), epub
Размер: 19.8 MB

Effective Kotlin summarizes the best practices and experiences of the Kotlin community, together with a deep explanation of some lesser-known Kotlin functionalities. All of the best practices are presented as simple rules with detailed explanations. Kotlin is a powerful and pragmatic language, but it's not enough to know about its features. We also need to know when they should be used and in what way. This book is a guide for Kotlin developers on how to become excellent Kotlin developers. It presents and explains in-depth the best practices for Kotlin development. Each item is presented as a clear rule of thumb, supported by detailed explanations and practical examples. Why do we decide to use Kotlin in our projects instead of Java, jаvascript, or C++? For developers, the answer is often that Kotlin is a modern language with a lot of useful features. For business, the answer is usually that Kotlin is a safe language, meaning that it is less prone to errors due to its design. You don’t need to have any experience with development to get upset when an application crashes or there is an error on a website that does not let you check out after you’ve spent an hour adding products to your basket. Fewer crashes improve the lives of both users and developers, thus providing significant business value. Safety is important for us, and Kotlin is a really safe language, but it still needs developer support to be truly safe. In this chapter, we’ll talk about the most important best practices for safety in Kotlin. This book does not teach the basics. It assumes that you have enough knowledge and skills to do Kotlin development.

Название: Artificial Intelligence in Wireless Sensors and Instruments: Networks and Applications
Автор: Halit Eren
Издательство: CRC Press
Год: 2025
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB

This book heralds a new era in instrumentation and measurements. It combines Artificial Intelligence (AI) and wireless communications technologies with instrumentation and measurement systems to function as a single unit. AI has advanced considerably due to Deep Learning utilizing artificial neural networks, availability of large and curated datasets, implementation of a new generation of fast processors having millions of transistors in chips, advanced algorithms, competitive commercial interests, and interests of governments to gain advantages. At the same time, new and highly advanced wireless technologies open new frontiers in communication systems, both technologically and in terms of applications aspects. Advanced technologies such as 5G and 6G networks enable easy use of communication systems by billions of people as well as by billions of machine-to-machine systems. In this book, the communication principles are explained and the implementation of AI on wireless networks is discussed. Many examples are provided. The author discusses instruments and instrumentation networks, modern sensors, and transducers in detail. AI is the technology humans have created where the machines do not only assist us but also think for us creatively in some cases, excelling humans thinking and reasoning. This book includes a chapter explaining how this is done, backed up with more than 50 figures. The security issues, fairness, efficiency, and social impact and acceptance of AI are highlighted. As explained in this book, AI and wireless communications are changing our lives in many ways, including entertainment, games, social interactions, medicine and healthcare, R&D, automated living, intelligent transport systems, finance and economy, and the Internet of Things.

Название: Python-Powered Ethical Hacking: Building Advanced Cybersecurity Tools
Автор: Peter Johnson
Издательство: HiTeX Press
Год: 2024
Страниц: 499
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Python-Powered Ethical Hacking: Building Advanced Cybersecurity Tools" serves as a comprehensive guide for aspiring and seasoned ethical hackers alike. This book meticulously combines the foundational principles of ethical hacking with the powerful capabilities of Python, offering readers a profound understanding of how to detect, analyze, and mitigate cybersecurity threats. Each chapter is thoughtfully structured to provide both theoretical insights and practical applications, ensuring a well-rounded learning experience. From setting up a secure hacking environment to developing custom exploits and performing advanced forensics, the content is tailored to equip readers with the skills necessary to navigate the complexities of modern cybersecurity challenges. Throughout the book, readers will find detailed explanations, code snippets, and real-world case studies that illustrate the effective use of Python in various hacking scenarios. The emphasis on legal and ethical considerations underscores the importance of responsible hacking practices. Whether you are a beginner eager to step into the world of ethical hacking or a professional looking to enhance your skill set with Python, this book offers invaluable knowledge and tools to strengthen your cybersecurity arsenal and contribute to a safer digital environment. Ethical hacking, also known as penetration testing or white-hat hacking, plays a critical role in maintaining the security of information systems. In a world where cybersecurity threats are constantly evolving, the need for skilled professionals equipped with the knowledge and tools to detect vulnerabilities and foresee potential security breaches has never been more pressing. Among the various tools available, Python stands out for its simplicity, versatility, and powerful libraries that facilitate the creation of a wide range of hacking and security tools.

Название: Информатика и программирование: объектно-ориентированное программирование (на основе языка С#)
Автор: Мурадханов С.Э., Широков А.И.
Издательство: Издательский Дом МИСиС
Год: 2015
Cтраниц: 309
Формат: pdf
Размер: 31 мб
Язык: русский

Объектно-ориентированная парадигма (ОПП) является фундаментом разработки современных программных комплексов. Изучающая такие средства дисциплина имеет как теоретическую составляющую (объектно-ориентированный подход к анализу предметной области), так и практическую (синтез информационной системы с использованием инструментов объектно-ориентированной разработки).

Название: R Programming for Data Science: A comprehensive guide to R programming for Data Science
Автор: Et Tu Code
Издательство: Independently published
Год: 2024
Страниц: 283
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.6 MB

Welcome to "R Programming for Data Science", a comprehensive guide that will take you on a journey from the basics of R programming to advanced techniques for working with data in the context of Data Science. As someone interested in Data Science, you're likely aware of the importance of having a strong foundation in programming and data manipulation skills. This book aims to provide you with just that, using R as the primary tool for exploring and analyzing data. R has emerged as one of the most popular languages for data analysis and visualization, and for good reason. Its flexibility, ease of use, and extensive library of packages make it an ideal choice for anyone looking to extract insights from large datasets. Whether you're a student, researcher, or professional in the field of Data Science, R is an essential tool that will help you get the job done. This book is designed to be both comprehensive and accessible, covering topics such as data types, visualization, statistical modeling, and Machine Learning. You'll learn how to work with datasets, manipulate and transform data, create visualizations, and build predictive models using popular R packages like dplyr, tidyr, ggplot2, caret, and more. Throughout the book, we'll focus on practical applications of R programming concepts, using real-world examples and case studies to illustrate key ideas. You'll also learn how to troubleshoot common errors, work with missing data, and optimize your code for efficiency. This book is intended for anyone interested in Data Science, regardless of their prior programming experience.

Название: Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies
Автор: Gururaj Harinahalli Lokesh, Geetabai S. Hukkeri, N.Z. Jhanjhi, Hong Lin
Издательство: The Institution of Engineering and Technology
Год: 2024
Страниц: 285
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

New approaches in Federated Learning and Split Learning have the potential to significantly improve ubiquitous intelligence in Internet of Things (IoT) applications. In Split Federated Learning, the Machine Learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data. The split learning method mitigates two fundamental drawbacks of Federated Learning: affordability, and privacy and security. When running Machine Learning computation on devices with limited resources, assigning only a portion of the network to train at the client-side minimizes the processing burden, compared to running a complete network as in Federated Learning. In addition, neither client nor server has full access to the other, which is more secure. This book reviews cutting edge technologies and advanced research in Split Federated Learning. Coverage includes approaches to realizing and evaluating the effectiveness and advantages of Federated Learning and Splitfed learning, the role of this technology in advancing and securing IoTs, advanced research on emerging AI models for preserving the privacy of the data owned by the clients, and the analysis and development of AI mechanisms in IoT architectures and applications. The use of Split Federated Learning in natural language processing (NLP), recommendation systems, healthcare systems, emotion detection, smart agriculture, smart transportation and smart cities is discussed. The authors of Chapter 1 elaborate on the fundamentals of Federated Learning (FL) and Split Learning which are the two common approaches to distributed Machine Learning. This book offers useful insights to the latest developments in the field for researchers, engineers and scientists in academia and industry, who are working in computing, AI, Data Science and cybersecurity with a focus on Federated Learning, Machine Learning and Deep Learning.