Название: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified
Автор: Jeremy Kubica
Издательство: No Starch Press
Год: 2025
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 29.8 MB

Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph-based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, you’ll build a solid foundation for addressing graph problems in your own projects. This book is an introduction to graphs and their algorithms for programmers who want to understand and apply them. Graphs are a type of data structure used throughout mathematics, Computer Science, and numerous other fields to model and solve a wide range of real-world problems. The structure of a graph allows us to represent connections or associations between items. Understanding this structure is critical to harnessing the power of graphs and using them efficiently. This book is for programmers who want to learn more about graphs, graph algorithms, and the computational thinking behind such techniques. I assume no prior knowledge of graphs or graph algorithms. However, readers should have the kind of basic familiarity with Python that can be expected after an introductory course, book, or boot camp. They should be familiar with fundamental Python programming concepts, including basic data structures such as lists and dictionaries.

Название: Python Games Development using Pygame: Guide to creating your own games with Pygame
Автор: Pol Camarillo, Thomas Carroll
Издательство: Independently published
Год: 2024
Страниц: 287
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Game programming is very rewarding nowadays and it can also be used in advertising and as a teaching tool too. Game development includes mathematics, logic, physics, AI, and much more and it can be amazingly fun. In Python, game programming is done in Pygame and it is one of the best modules for doing so. Pygame is a free and open-source library for creating video games and other multimedia programs with Python. It supports graphics, sound, input, and game development features, and has many tutorials, documentation, and examples. You can code the games and then use specific commands to change it into an executable file that you can share with your friends to show them the work you have been doing. It includes computer graphics and sound libraries designed to be used with the Python programming language. Python is a global programming language used by equally data engineers & data scientists, and it is also the most popular. Python is loved by all the Data Scientists I've talked to and many of my friends since it can automate all the mundane operational work that data engineers must perform. This Book Is Perfect For: - Total beginners with zero programming experience; - Returning professionals who haven’t written code in years; - Seasoned professionals looking for a fast, simple, crash course in Python.

Название: Reverse Engineering with Terraform: An Introduction to Infrastructure Automation, Integration, and Scalability using Terraform
Автор: Sumit Bhatia, Chetan Gabhane
Издательство: Apress
Год: 2024
Страниц: 288
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.0 MB

This book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations. Reverse Engineering with Terraform begins with an introduction to Terraform’s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. You’ll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure. Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. You’ll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management.For IT architects, admins, technical managers, and infrastructure solution experts. Minimal knowledge of Python programming is the only prerequisite.

Название: AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Автор: Arvind Narayanan, Sayash Kapoor
Издательство: Princeton University Press
Год: 2024
Страниц: 360
Язык: английский
Формат: epub (true)
Размер: 14.1 MB

From two of TIME’s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products. Confused about Artificial Intelligence (AI) and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will. While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it’s being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can’t fix social media, why AI isn’t an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies. By revealing AI’s limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home.

Название: Горутины и каналы в Go: задачи с собеседований и паттерны
Автор: Георгий Самойлов, Иван Ильченко
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 5 Mb
Язык: Русский

Горутины и каналы являются одной из главнейших фишек в Go, задачи про которые ОЧЕНЬ любят на собеседованиях.

Название: The Rise of AI Agents: Integrating AI, Blockchain Technologies, and Quantum Computing (Early Release)
Автор: Petar Radanliev
Издательство: Addison-Wesley/Pearson
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Discover the Future of Technology with The Rise of AI Agents. In The Rise of AI Agents, you'll explore how Artificial Intelligence (AI), Blockchain, and Quantum Computing are revolutionizing the world. This book goes beyond theory, offering a practical and insightful journey into the possibilities and challenges of these groundbreaking technologies. Drawing from years of experience in AI, Cybersecurity, and Quantum Computing, Dr. Petar Radanliev aims to bridge academic research with real-world application. Whether you're a professional looking to apply cutting-edge solutions or a student eager to stay ahead of the curve, this book will provide valuable insights into the ever-evolving tech landscape. The Rise of AI Agents offers a holistic view of these interconnected technologies, making complex topics easy to grasp for readers of all backgrounds. It's not just about understanding the theories-this book equips you with the tools to apply them in real-world scenarios. This book is designed to inspire and inform, giving you the knowledge and confidence to navigate and thrive in the fast-paced world of AI, Blockchain, and Quantum Computing.

Название: Ultimate Deepfake Detection Using Python: Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python
Автор: Nimrita Koul
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 306
Язык: английский
Формат: epub (true)
Размер: 91.6 MB

Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python’s AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced Deep Learning techniques. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security. This book is structured into ten comprehensive chapters that guide you through the essential aspects of deepfake detection. It begins with the foundational concepts of generative models and deepfake technology, exploring the principles behind detecting deepfake media. You will then learn about Python as a powerful tool for deepfake detection, followed by an in-depth examination of the relevant datasets and deep learning approaches critical for building robust detection systems. The book provides detailed Python code for creating deepfake detection systems specifically tailored to images, videos, and audio. Finally, it culminates in a thorough case study of an award-winning deepfake detection system, offering practical insights and expert techniques.

Название: Обработка больших данных
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 11 Мб
Качество: Хорошее
Язык: Русский

Книга является пособием для изучения технологий больших данных, охватывая основные и продвинутые аспекты работы с данными в распределенных системах. Начав с основ, она объясняет значение БД, их эволюцию и экосистему Hadoop, включая компоненты и инструменты: HDFS, MapReduce, Hive, Pig, HBase, Sqoop и Flume.
Автор раскрывает архитектуру и принципы работы Apache Hadoop, а также примеры использования MapReduce и работу с данными в HDFS, Apache Spark, описывая его основные компоненты, такие как RDD, DataFrames, Spark SQL, Spark Streaming, MLLib и GraphX, и предоставляет практические примеры установки и настройки.

Название: Разработка мобильных приложений
Автор: Нурпеисова Г.Б., Нурпеисова Т.Б., Кайдаш И.Н., Панюкова Д.В.
Издательство: Алматы: Бастау
Год: 2020
Формат: pdf
Страниц: 324
Размер: 14 mb
Язык: русский

В данном учебном пособии рассматриваются современные мобильные технологии и платформы разработки мобильных приложений. Представлена их классификация.
Учебное пособие является руководством по созданию приложений для мобильных платформ Android и, частично, iOS. Пособие представляет собой комплекс теоретических и практических учебных материалов для студентов бакалавриата по направлению подготовки 6В061 Информационно-коммуникационные технологии, магистрантов, преподавателей, обеспечивающих учебный процесс по дисциплинам, связанным с мобильными и клиент-серверными приложениями.

Название: Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
Автор: Marjorie McShane, Sergei Nirenburg, Jesse English
Издательство: The MIT Press
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on Machine Learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies. At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way: by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms—and why it is imperative to do so.