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Название: Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs
Автор: Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro
Издательство: World Scientific Publishing
Год: 2024
Страниц: 296
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB

In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. These data, commonly referred to as Big Data, are challenging current storage, processing and analysis capabilities. New models, languages, systems and algorithms continue to be developed to effectively collect, store, analyze and learn from Big Data. Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for Big Data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples it also describes the most used frameworks for Big Data analysis like Hadoop, Spark, MPI, Hive and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing Big Data analysis applications. This book describes and reviews parallel and distributed paradigms, languages, and systems used today to analyze and learn from Big Data on scalable computers. In particular, the book provides a detailed description of the properties and mechanisms of the main parallel programming paradigms, and through programming examples, it illustrates the most widely used frameworks for Big Data analysis. The final goal of this volume is to help designers and developers in programming Big Data applications by identifying and selecting the best or most appropriate programming tool(s) based on their skills, hardware availability, application domains, and purposes, while also considering the support provided by the developer community.

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: ActivityPub: Programming for the Social Web (Final Release)
Автор: Evan Prodromou
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 750
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

ActivityPub is the new standard for connecting social networks together on the social web. This open, decentralized social networking protocol defines an API for sharing activities to a social network and a procedure that servers use to distribute those activities to a subscriber's feed. With this book, you'll learn how to assemble ActivityPub-enabled clients for making new kinds of social apps on top of existing networks and build ActivityPub servers that create new human or automated accounts on the social web. With those skills under your belt, you can explore other applications of this publish-subscribe technology: content management systems, Internet of Things, and enterprise automation. With hands-on examples and in-depth knowledge from Evan Prodromou, one of the authors of the protocol, this is the ActivityPub handbook that every social software hacker needs. This book uses many examples in jаvascript Object Notation (JSON), jаvascript, and Python. Each language gets a brief description when it is introduced, but familiarity with JSON as a data format, and jаvascript and Python as programming languages, will be a big help in understanding the examples. However, I try not to use too many fancy features of each language, so if you’re familiar with any modern programming language, you should be able to puzzle out the examples. It can help to be familiar with the architecture of the web, including how Hypertext Transfer Protocol (HTTP) works and how Hypertext Markup Language (HTML) pages are developed. Experience with application programming interfaces (APIs), especially APIs for social networks like X or Facebook, can be helpful to understand the motivation for some examples but isn’t strictly required. This book is primarily for software developers interested in creating ActivityPub client or server software. It could also be useful for software architects or designers who are considering how to structure an ActivityPub-centric project.

Название: Head First jаvascript Programming: A Learner's Guide to Modern jаvascript, 2nd Edition
Автор: Eric Freeman, Elisabeth Robson
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 1043
Язык: английский
Формат: epub
Размер: 147.3 MB

The new edition of this brain-friendly guide takes you through a comprehensive journey into modern jаvascript, covering everything from core language fundamentals to today's cutting-edge features. You'll dive into the nuances of jаvascript types and the unparalleled flexibility of its functions. You'll also learn how to expertly navigate classes and objects, and finally understand closures. But that's just the beginning. You'll also get hands-on with the browser's document object model (DOM), engaging with jаvascript in exciting ways. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with jаvascript as never before. And you'll write real code, lots of it, so you can start building your own applications. jаvascript is a programming language that didn’t come up through the ivy leagues with plenty of time for academic peer review. jаvascript was thrown out into the world out of necessity and grew up in the early browser neighborhood. jаvascript has been through quite the journey to get to where it is today: a fast, brilliant, modern language that is the programming language of the web. In this book, we explore modern jаvascript, covering the updated syntax and semantics that make coding more efficient and effective. We provide practical examples and best practices to help you master today’s jаvascript and build dynamic, robust applications.

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: 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.