• Regeln für den Dokumente-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Allgemeines:

    Nicht erlaubt im Dokumente-Bereich sind:

    - indizierte Titel (inkl. Comics)
    - extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
    - jegliche Art von Pornographie
    - Anleitungen zu kriminellen Handlungen, gleich welcher Art
    - sadistische, menschenverachtende oder ähnliche Werke

    Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten

    Vor dem Einstellen zu beachten:

    - Suchfunktion

    Vergewissert euch, dass es euer Dokument noch nicht im Board gibt, Doppelposts werden kommentarlos gelöscht. Ist es schon vorhanden, tragt es als Mirror im bestehenden Post ein.

    - Threadtitel

    Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.

    Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:

    Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)

    Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:

    [Humor]
    [Drama]
    [Erotik]
    [Fantasy]
    [Krimi]
    [Roman]
    [Thriller]
    [Horror]
    [Science Fiction]

    Inhalt des Beitrags:

    Folgende Pflichtangaben gilt es einzuhalten:

    - Autor
    - Titel
    - Präfix
    - Cover
    - Genre
    - Inhaltsbeschreibung
    - enthaltene Formate
    - Gesamtgröße des Downloads
    - Hoster
    - ggf. Passwort

    Nicht erlaubt sind alle Dateien, die den Download unnötig aufblähen um eine Affiliategrenze zu erreichen, wie zB. mp3-files, übergroße Bilder, etc.

    Ebenso nicht erlaubt sind sämtliche Dateien mit DRM, persönlichen Daten, etc., diese werden kommentarlos zu eurem eigenem Schutz gelöscht.

    Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.


    Unterforum Comics:

    Threadtitel:

    Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte

    - den Titel des Comics
    - den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
    - das Erscheinungsjahr

    Erlaubt sind folgende Formate:

    - CBR
    - CBZ

    Grundsätzlich gilt: jede Version eines Comics erhält einen eigenen Thread, Ersteller eines Comics können ihre Bände gerne mit dem Zusatz (Original-Release) versehen.

    Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.

    Inhalt des Beitrags:

    Pflichtangaben hier sind:

    - Titel des Bandes und ggf. Nummer
    - Cover
    - falls bekannt technische Daten (DPI, Breite, Speicherqualität)
    - Größe des Downloads
    - Hoster
    - ggf. Passwort
    - falls bekannt Releasenamen
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


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Collection Download Ebooks Best Seller Updated Daily

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Automate AI Agents with n8n and MCP: Practical Guide to Building Smart Workflows with Open Tools and Real-World Use Cases by Leandro Calado
English | April 4, 2025 | ISBN: N/A | ASIN: B0F3T4HVZC | 56 pages | EPUB | 0.90 Mb
Automate AI Agents with n8n and MCP

Practical Guide to Building Smart Workflows with Open Tools and Real-World Use Cases
Are you ready to go beyond basic automations and connect your AI tools into powerful, self-orchestrating workflows?
This hands-on guide shows you how to automate AI agents using n8n - the open-source workflow engine - and the Model Context Protocol (MCP), a fast-growing standard for tool integration with LLMs and agents.
You will learn how to:Deploy self-hosted workflows using Docker + PostgreSQLUse the n8n-nodes-mcp client to connect with public or custom MCP serversTrigger and execute tools from within AI pipelinesIntegrate with platforms like Brave Search, Firecrawl, and OpenAILeverage ready-to-use templates and customize them for your needsThis book is perfect for developers, automation engineers, and AI enthusiasts looking to:Orchestrate multi-step automations using AIOperate local, private, or open-source agent infrastructureExperiment with AI tools in real-world workflows without vendor lock-inThis book is not about building autonomous multi-agent systems from scratch. It's about connecting tools that already exist - and making them work together in powerful, flexible ways using n8n and MCP.
Start building your AI-powered workflows today - with full control, flexibility, and open tooling.




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Automated Machine Learning and Industrial Applications
English | 2025 | ISBN: 1394272391 | 338 Pages | EPUB (True) | 10 MB
Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML.




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Automated Machine Learning and Industrial Applications
English | 2025 | ISBN: 1394272391 | 341 pages | PDF | 14.9 MB
The book provides a comprehensive understanding of Automated Machine Learning's transformative potential across various industries, empowering users to seamlessly implement advanced machine learning solutions without needing extensive expertise.

Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML.
Automated Machine Learning and Industrial Applications offers an overview of the basic architecture, evolution, and applications of AutoML. Potential applications in healthcare, banking, agriculture, aerospace, and security are discussed in terms of their frameworks, implementation, and evaluation. This book also explores the AutoML ecosystem, its integration with blockchain, and various open-source tools available on the AutoML platform. It serves as a practical guide for engineers and data scientists, offering valuable insights for decision-makers looking to integrate machine learning into their workflows.



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AWS for Solutions Architects: Design and scale secure AWS architectures with GenAI strategies and real-world patterns, 3rd Edition
English | 2025 | ISBN: 1836641931 | 1010 pages | True EPUB | 22.83 MB
Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.

Key Features
Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates
Implement migration strategies with real-world examples and enterprise case studies
Advance your AWS career with certification-aligned insights and exam-ready strategies
Book Description
AWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter.
This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation.
By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.
What you will learn
Gain expertise in GenAI, MLOps, AIOps, and mobile edge computing
Optimize performance and handle errors in cloud-native applications
Prepare for new AWS certifications, including those focused on AI and data engineering
Apply best practices for security, compliance, and AWS Learning Badges
Explore the updated Well-Architected Framework with six pillars
Get in-depth knowledge of new storage options and security group configurations
Who this book is for
This book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn't required, but experience in software architecture design will be helpful.



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AWS for Solutions Architects: Design and scale secure AWS architectures with GenAI strategies and real-world patterns 3rd Edition
English | 2025 | ISBN: 1836641931 | 789 pages | True PDF | 117.29 MB
Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.

Key Features
Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates
Implement migration strategies with real-world examples and enterprise case studies
Advance your AWS career with certification-aligned insights and exam-ready strategies
Book Description
AWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter.
This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation.
By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.
What you will learn
Gain expertise in GenAI, MLOps, AIOps, and mobile edge computing
Optimize performance and handle errors in cloud-native applications
Prepare for new AWS certifications, including those focused on AI and data engineering
Apply best practices for security, compliance, and AWS Learning Badges
Explore the updated Well-Architected Framework with six pillars
Get in-depth knowledge of new storage options and security group configurations
Who this book is for
This book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn't required, but experience in software architecture design will be helpful.



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AWS Glue com Python: Desenvolvendo Pipelines ETL Escaláveis na Nuvem: Guia Prático para Engenheiros de Dados que Automatizam Processos com S3, Redshift e Terraform (Portuguese Edition) by Leandro Calado
Portuguese | November 29, 2024 | ISBN: N/A | ASIN: B0DPBTZ578 | 86 pages | EPUB | 1.03 Mb
Desenvolvendo ETL Eficiente com AWS Glue e Python

Um guia prático e direto para engenheiros de dados que desejam construir pipelines escaláveis na nuvem com confiança.
Domine o AWS Glue e Python para transformar dados em insights valiosos com rapidez, segurança e performance. Este livro apresenta uma abordagem clara e aplicada para criar pipelines de ETL modernos utilizando os principais recursos da AWS.
Você vai aprender:Como criar e otimizar Glue Jobs em PythonIntegrações com S3, Redshift, DynamoDB e maisTransformações de dados com escalabilidade e segurançaInfraestrutura como código com TerraformBoas práticas de logging, testes e monitoramentoConteúdo do LivroParte 1 - Fundamentos do AWS Glue
Aprenda os princípios de ETL, explore a arquitetura da ferramenta e configure seu ambiente de desenvolvimento.
Parte 2 - Desenvolvimento de Glue Jobs
Crie pipelines completos com Python, consumindo, transformando e armazenando dados em múltiplos formatos e destinos.
Parte 3 - Testes, Infraestrutura e Ambientes
Implemente testes unitários, automatize deploys com Terraform e gerencie múltiplos ambientes (dev, staging, prod).
Parte 4 - Tópicos Avançados
Aprofunde-se em monitoramento, segurança, conformidade com LGPD e detecção automática de erros e anomalias.
Ideal para:Engenheiros de dados em início ou transição de carreiraProfissionais que desejam aprimorar projetos de ETL na nuvemTimes que buscam padronização e automação em seus pipelinesCom exemplos práticos e linguagem acessível, este guia é um recurso essencial para quem deseja dominar o AWS Glue e entregar resultados de alto impacto na engenharia de dados moderna.




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Axum Web Development in Rust: The Complete Guide for Developers and Engineers
English | July 24, 2025 | ASIN: B0FJTJ9LP2 | 294 pages | EPUB (True) | 2.95 MB
"Axum Web Development in Rust"

Axum Web Development in Rust is a definitive guide for experienced developers seeking to master backend web development with the Axum framework and Rust's robust, type-safe ecosystem. This comprehensive book reveals Axum's architectural philosophy and async foundations, contrasting it with other leading Rust web frameworks to illuminate its distinctive modularity, scalability, and performance. Through detailed chapters, readers learn best practices for structuring large-scale applications, establishing effective tooling, and exploiting the capabilities of the wider Tower middleware ecosystem.
The book delves deep into advanced routing, request handling, and state management, equipping readers with the expertise to design complex APIs with strong typing and ergonomic extraction. It covers essential patterns for dependency injection, concurrency, middleware composition, serialization, validation, and seamless integration with modern ORMs. Security is addressed holistically, encompassing TLS, authentication and authorization protocols, vulnerability mitigation, and runtime security tools for both development and deployment.
Going beyond application logic, Axum Web Development in Rust addresses critical concerns for production environments. Readers discover robust strategies for testing, observability, and performance tuning, as well as cloud-native deployment patterns such as Kubernetes, serverless, and CI/CD automation. The book culminates in advanced guidance for building real-world architectures, optimizing performance, supporting multi-protocol APIs, enabling seamless legacy integration, and future-proofing projects in the evolving Rust landscape, making it an indispensable reference for professional Rust web developers.



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Ayrshire: A Historical Guide (Birlinn Historical Guides) by Thorbjorn Campbell
English | July 24, 2025 | ISBN: 1839830824 | 304 pages | EPUB | 9.28 Mb
Ayrshire has a rich and varied history. The region has been inhabited from earliest times, as the remains of duns, cairns and barrows show. In the medieval period it played a key role in the emergence and consolidation of a unified Scotland, and it was from one of Ayrshire's many powerful families that the Stewart line of kings emerged. From this period there remain many castles and tower-houses. In more recent times, great houses such as Culzean were rebuilt by the finest architects of their day, and there are a number of important sites ****** from the Industrial Revolution.

This book is both a narrative history and a guidebook featuring maps and plans as well as a detailed gazetteer enabling the visitor to locate and fully appreciate the many sites described.



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Azure Database for PostgreSQL mit C#: Ein Praxisleitfaden für cloudbasierte Datenbankentwicklung (German Edition) by BOSCO-IT CONSULTING
German | March 22, 2025 | ISBN: N/A | ASIN: B0F283G2SX | 187 pages | EPUB | 0.21 Mb
Azure Database for PostgreSQL mit C#: Ein Praxisleitfaden für cloudbasierte Datenbankentwicklung

In einer Welt, in der Cloud-Technologien und datengetriebene Anwendungen zunehmend an Bedeutung gewinnen, ist die Fähigkeit, leistungsfähige und skalierbare Datenbanklösungen in der Cloud zu entwickeln, zu einer zentralen Kompetenz für moderne Entwickler geworden. Dieses Buch bietet einen praxisorientierten Leitfaden für die Integration von Azure Database for PostgreSQL mit der Programmiersprache C# und zeigt, wie sich professionelle .NET-Anwendungen mit cloudbasierten Datenbanken verbinden und produktiv einsetzen lassen.
Das Buch richtet sich an Softwareentwickler, Datenbankadministratoren und IT-Architekten, die PostgreSQL in Azure nutzen möchten - mit einem klaren Fokus auf Praxis, Performance, Sicherheit und Skalierbarkeit. Es behandelt die vollständige Entwicklungspipeline, von der Einrichtung eines PostgreSQL-Servers in Azure über die Verbindung mit C# und Entity Framework Core bis hin zur Optimierung, Sicherheit und Bereitstellung in produktionsreifen Umgebungen.
Der Leser erhält Schritt-für-Schritt-Anleitungen zum Aufbau und zur Verwaltung von PostgreSQL-Datenbanken in der Azure-Cloud, inklusive Codebeispielen, realitätsnahen Szenarien und zahlreichen Tipps aus der Praxis. Die Integration mit .NET wird detailliert erläutert, von der Nutzung des Npgsql-Treibers bis zur Implementierung komplexer Datenzugriffe mit Entity Framework Core.
Weitere Themen wie Authentifizierung mit Azure Active Directory, Verschlüsselung, Hochverfügbarkeit, Backup-Strategien, Monitoring und Fehlerbehebung werden umfassend behandelt. Zusätzlich zeigt das Buch, wie man eine komplette .NET-Anwendung mit PostgreSQL auf Azure App Services bereitstellt und mit modernen CI/CD-Pipelines automatisiert.
Ob Sie eine neue cloudbasierte Anwendung entwickeln, bestehende Systeme migrieren oder Ihre Kenntnisse im Umgang mit PostgreSQL und Azure vertiefen möchten - dieses Buch begleitet Sie kompetent durch alle Phasen Ihrer Entwicklung und unterstützt Sie dabei, robuste und zukunftsfähige Architekturen zu gestalten.
Was Sie in diesem Buch lernen:Einrichtung und Konfiguration von Azure Database for PostgreSQLVerbindung mit C# und Nutzung des Npgsql-TreibersDatenmodellierung und Datenzugriff mit Entity Framework CorePerformance-Tuning und effizientes DatenmanagementSicherheit, Verschlüsselung und rollenbasierte ZugriffskontrolleBackup-, Wiederherstellungs- und HochverfügbarkeitsstrategienDeployment von .NET-Anwendungen mit CI/CD in AzureZielgruppe:
Das Buch richtet sich an .NET-Entwickler, Software-Ingenieure, Datenbankverwalter und DevOps-Fachkräfte, die PostgreSQL-Datenbanken in der Azure-Cloud einsetzen möchten. Vorkenntnisse in C# und SQL sind von Vorteil, grundlegende Azure-Erfahrung ist hilfreich, aber nicht zwingend erforderlich.
Am Ende dieses Buches werden Sie in der Lage sein, moderne Cloud-Anwendungen zu entwerfen, die auf einer soliden PostgreSQL-Datenbank basieren und vollständig in das Azure-Ökosystem integriert sind.




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Azure for Developers: The definitive guide to creating secure, scalable Azure apps with GenAI, serverless, and DevOps pipelines 3rd Edition
English | 2025 | ISBN: 1836203519 | 1333 pages | True EPUB | 15.23 MB
Advance your development career by mastering Microsoft Azure's latest tools and technologies to enhance existing applications and build powerful cloud-native solutions

Key Features
Build and deploy Azure apps with web, serverless, and container-based architectures
Create end-to-end cloud solutions on Azure by integrating AI services, monitoring tools, and DevOps
Upskill confidently with practical insights and real-world development practices
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Supercharge your development career by mastering Azure's evolving GenAI, container, and serverless capabilities to build scalable, secure applications with confidence. This third edition of Azure for Developers transforms complex cloud concepts into practical skills, guiding you through the design, deployment, and management of cloud-native solutions while eliminating infrastructure headaches.
Fully updated with Azure's latest features, this hands-on guide helps you automate DevOps pipelines with GitHub Actions, deploy microservices using containers, and integrate generative AI via Azure OpenAI to modernize your development workflows. You will learn how to set up your environment, streamline app deployment, and implement robust service integrations using real-world best practices.
The final section is a game-changer for developers who want to stay ahead of the curve. It shows you how to leverage Azure's AI and machine learning services to automate tasks, fine-tune models, and build intelligent assistants and next-generation workflows.
By the end, you will have the confidence and capabilities to deliver production-grade cloud solutions that meet real-world demands and position yourself at the forefront of modern cloud development.
What you will learn
Integrate data solutions like Azure Storage and managed SQL databases into your applications
Embed monitoring into your application using Application Insights SDK
Develop serverless solutions with Azure Functions and Durable Functions
Automate CI/CD workflows with GitHub Actions and Azure integration
Build and manage containers using Azure Container Apps, Azure Container Registry (ACR), and App Service
Design powerful workflows with both low-code and full-code approaches
Enhance applications with AI and machine learning components
Who this book is for
This book is for cloud developers and engineers building applications with Microsoft Azure, as well as those looking to begin a career in Azure development. While a basic understanding of programming concepts is recommended, the book covers both basic and advanced ideas and solutions, making it valuable for beginners and experienced developers looking to enhance their skills.



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Azure for Developers: The definitive guide to creating secure, scalable Azure apps with GenAI, serverless, and DevOps pipelines 3rd Edition
English | 2024 | ISBN: 1835085628 | 584 pages | True PDF | 5.82 MB
Advance your development career by mastering Microsoft Azure's latest tools and technologies to enhance existing applications and build powerful cloud-native solutions

Key Features
Build and deploy Azure apps with web, serverless, and container-based architectures
Create end-to-end cloud solutions on Azure by integrating AI services, monitoring tools, and DevOps
Upskill confidently with practical insights and real-world development practices
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Supercharge your development career by mastering Azure's evolving GenAI, container, and serverless capabilities to build scalable, secure applications with confidence. This third edition of Azure for Developers transforms complex cloud concepts into practical skills, guiding you through the design, deployment, and management of cloud-native solutions while eliminating infrastructure headaches.
Fully updated with Azure's latest features, this hands-on guide helps you automate DevOps pipelines with GitHub Actions, deploy microservices using containers, and integrate generative AI via Azure OpenAI to modernize your development workflows. You will learn how to set up your environment, streamline app deployment, and implement robust service integrations using real-world best practices.
The final section is a game-changer for developers who want to stay ahead of the curve. It shows you how to leverage Azure's AI and machine learning services to automate tasks, fine-tune models, and build intelligent assistants and next-generation workflows.
By the end, you will have the confidence and capabilities to deliver production-grade cloud solutions that meet real-world demands and position yourself at the forefront of modern cloud development.
What you will learn
Integrate data solutions like Azure Storage and managed SQL databases into your applications
Embed monitoring into your application using Application Insights SDK
Develop serverless solutions with Azure Functions and Durable Functions
Automate CI/CD workflows with GitHub Actions and Azure integration
Build and manage containers using Azure Container Apps, Azure Container Registry (ACR), and App Service
Design powerful workflows with both low-code and full-code approaches
Enhance applications with AI and machine learning components
Who this book is for
This book is for cloud developers and engineers building applications with Microsoft Azure, as well as those looking to begin a career in Azure development. While a basic understanding of programming concepts is recommended, the book covers both basic and advanced ideas and solutions, making it valuable for beginners and experienced developers looking to enhance their skills.



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James M Scott, "BACCHIVS IVDAEVS: A Denarius Commemorating Pompey's Victory over Judea"
English | 2015 | ISBN: 3525540450 | PDF | pages: 164 | 1.5 mb
James M. Scott investigates the Jewish and Greco-Roman background of a conceptually enigmatic denarius minted in Rome in 55 BCE, on the obverse of which appears a camel, in front of which a male figure kneels on his right leg, extending a branch in his right hand; the legend reads: BACCHIVS IVDAEVS. Scott's study argues that the oft-suggested connection between Aristobulus' gift of the golden vine and the Bacchius Iudaeus denarius does merit further investigation. It is shown that the Latin inscription refers to the god Bacchus/Dionysus via an interpretatio Romana and is an expression of Pompey`s Dionysian pretensions.




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