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A Coloring Book That Helps You Improve Your Artistic Skills! This coloring book is designed for those who want more than just to fill in shapes—it’s for anyone looking to develop their artistic skills! Unlike typical coloring books, this one includes not only outlines but also carefully shaded areas to help you understand how to create depth and volume in your drawings. Inside, you’ll find helpful tips on blending colors, shading, and adding highlights to achieve a natural, professional-looking result. Progressive difficulty – start with simple drawings and gradually move to more detailed illustrations Pencil techniques – learn how to make your artwork more realistic Perfect for beginners and anyone looking to refine their skills This book is available in German, English, Italian, Chinese, Russian, and Turkish. The English and Italian versions are also published on the Tredition website. If you would like to purchase the Chinese, Russian, or Turkish version of the book, please buy the German or English edition. Inside the book, you will find a link to download the PDF file in your desired language for free. Paint in the language of your heart! Once you’ve finished coloring, you might want to frame your artwork, give it as a heartfelt gift, or even write a message on the back and send it as a postcard. Step into the world of creativity—color; experiment, and develop your own artistic style!

A Coloring Book That Helps You Improve Your Artistic Skills! This coloring book is designed for those who want more than just to fill in shapes—it’s for anyone looking to develop their artistic skills! Unlike typical coloring books, this one includes not only outlines but also carefully shaded areas to help you understand how to create depth and volume in your drawings. Inside, you’ll find helpful tips on blending colors, shading, and adding highlights to achieve a natural, professional-looking result. Progressive difficulty – start with simple drawings and gradually move to more detailed illustrations Pencil techniques – learn how to make your artwork more realistic Perfect for beginners and anyone looking to refine their skills This book is available in German, English, Italian, Chinese, Russian, and Turkish. The English and Italian versions are also published on the Tredition website. If you would like to purchase the Chinese, Russian, or Turkish version of the book, please buy the German or English edition. Inside the book, you will find a link to download the PDF file in your desired language for free. Paint in the language of your heart! Once you’ve finished coloring, you might want to frame your artwork, give it as a heartfelt gift, or even write a message on the back and send it as a postcard. Step into the world of creativity—color; experiment, and develop your own artistic style!

Summary WebAssembly in Action introduces the WebAssembly stack and walks you through the process of writing and running browser-based applications. Expert developer Gerard Gallant gives you a firm foundation of the structure of a module, HTML basics, JavaScript Promises, and the WebAssembly JavaScript API. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Write high-performance browser-based applications without relying only on JavaScript! By compiling to the WebAssembly binary format, your C, C++, or Rust code runs at near-native speed in the browser. WebAssembly delivers greater speed, opportunities to reuse existing code, and access to newer and faster libraries. Plus, you can easily interact with JavaScript when you need to. About the book WebAssembly in Action teaches you how to write and run high-performance browser-based applications using C++ and other languages supported by WebAssembly. In it, you’ll learn to create native WebAssembly modules, interact with JavaScript components, and maximize performance with web workers and pthreads. And you’ll love how the clearly organized sections make it a breeze to find the important details about every function, feature, and technique. What's inside Dynamic linking of multiple modules at runtime Communicating between modules and JavaScript Debugging with WebAssembly Text Format Threading with web workers and pthreads About the reader Written for developers with a basic understanding of C/C++, JavaScript, and HTML. About the author Gerard Gallant is a Microsoft Certified Professional and a Senior Software Developer at Dovico Software. He blogs regularly on Blogger.com and DZone.com.

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In this book you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You’ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action with practical code examples in each chapter, culminating into you building your own convolution neural networks, transformers, and even a real-world medical image classifier. In Deep Learning with PyTorch, Second Edition you’ll find: • Deep learning fundamentals reinforced with hands-on projects • Mastering PyTorch's flexible APIs for neural network development • Implementing CNNs, transformers, and diffusion models • Optimizing models for training and deployment • Generative AI models to create images and text About the technology The powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models. About the book Deep Learning with PyTorch, Second Edition shows you how to build neural network models using the latest version of PyTorch. Clear explanations and practical projects help you master the fundamentals and explore advanced architectures including transformers and LLMs. Along the way you’ll learn techniques for training using augmented data, improving model architecture, and fine tuning. What's inside • PyTorch APIs for neural network development • LLMs, transformers, and diffusion models • Model training and deployment About the reader For Python programmers with a background in machine learning. About the author Howard Huang is a software engineer and developer on the PyTorch library focusing on large scale, distributed training. Eli Stevens , Luca Antiga , and Thomas Viehmann authored the first edition of Deep Learning with PyTorch. Table of Contents Part 1 1 Introducing deep learning and the PyTorch library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize Part 2 9 How transformers work 10 Diffusion models for images 11 Using PyTorch to fight cancer 12 Combining data sources into a unified dataset 13 Training a classification model to detect suspected tumors 14 Improving training with metrics and augmentation 15 Using segmentation to find suspected nodules 16 Training models on multiple GPU

Summary WebAssembly in Action introduces the WebAssembly stack and walks you through the process of writing and running browser-based applications. Expert developer Gerard Gallant gives you a firm foundation of the structure of a module, HTML basics, JavaScript Promises, and the WebAssembly JavaScript API. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Write high-performance browser-based applications without relying only on JavaScript! By compiling to the WebAssembly binary format, your C, C++, or Rust code runs at near-native speed in the browser. WebAssembly delivers greater speed, opportunities to reuse existing code, and access to newer and faster libraries. Plus, you can easily interact with JavaScript when you need to. About the book WebAssembly in Action teaches you how to write and run high-performance browser-based applications using C++ and other languages supported by WebAssembly. In it, you’ll learn to create native WebAssembly modules, interact with JavaScript components, and maximize performance with web workers and pthreads. And you’ll love how the clearly organized sections make it a breeze to find the important details about every function, feature, and technique. What's inside Dynamic linking of multiple modules at runtime Communicating between modules and JavaScript Debugging with WebAssembly Text Format Threading with web workers and pthreads About the reader Written for developers with a basic understanding of C/C++, JavaScript, and HTML. About the author Gerard Gallant is a Microsoft Certified Professional and a Senior Software Developer at Dovico Software. He blogs regularly on Blogger.com and DZone.com.

Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features: - New chapters on type matching, data visualization, dependency management, and more - Comprehensive coverage of Python 3.12 with updated recipes and techniques - Provides practical examples and detailed explanations to solve real-world problems efficiently Book Description: Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases. The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features. What You Will Learn: - Master core Python data structures, algorithms, and design patterns - Implement object-oriented designs and functional programming features - Use type matching and annotations to make more expressive programs - Create useful data visualizations with Matplotlib and Pyplot - Manage project dependencies and virtual environments effectively - Follow best practices for code style and testing - Create clear and trustworthy documentation for your projects Who this book is for: This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful Table of Contents - Numbers, Strings, and Tuples - Statements and Syntax - Function Definitions - Built-In Data Structures Part 1: Lists and Sets - Built-In Data Structures Part 2: Dictionaries - User Inputs and Outputs - Basics of Classes and Objects - More Advanced Class Design - Functional Programming Features - Type Matching and Annotations - Input/Output, Physical Format, and Logical Layout - Graphics and Visualization with Jupyter Lab - Application Integration: Configuration - Application Integration: Combination - Testing - Dependencies and Virtual Environments - Documentation and Style

Learn C# programming from scratch using the all-new Unity 6 as a fun and accessible entry point with this updated edition of the bestselling series Key Features: - Build a strong foundation in programming concepts and the C# language - Become confident in the fundamentals and features of Unity in line with Unity 6 - Create a playable game prototype in Unity―a working first-person shooter game prototype - Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Book Description: It's the ability to write custom C# scripts for behaviors and game mechanics that really takes Unity the extra mile. That's where this book will help you as a new programmer! Harrison Ferrone, in this eighth edition of the bestselling series, will take you through the core concepts of programming and the C# language from scratch, while building an engaging and playable game prototype in Unity 6. You'll get to grips with the fundamentals of object-oriented programming (OOP) and the Unity engine with lots of code samples, exercises, and tips to go beyond the book with your work. You'll write C# scripts for simple game mechanics, perform procedural programming, request live data from the web, and add complexity to your games by introducing intelligent enemies and damage-dealing projectiles. You'll also explore the underlying mechanics of Unity game development, including game design, lighting basics, player movement, camera controls, collisions, and more, with every passing chapter. Note: The screenshots in the book display the Unity Editor in full-screen mode for a comprehensive view. You can easily reference color versions of images by downloading them from the GitHub repository or the graphics bundle linked in the book. What You Will Learn: - Master programming fundamentals by breaking them into simple, digestible parts - Understand OOP concepts through clear explanations of C# code samples - Follow simple steps and examples to create and implement C# scripts in Unity 6 - Divide your code into pluggable building blocks using interfaces, abstract classes, and class extensions - Grasp game design document basics and then move on to blocking out your level geometry, adding lighting, and a simple object animation - Create basic game mechanics, such as player controllers and shooting projectiles, using C# Who this book is for: If you're a developer, programmer, hobbyist, or anyone who wants to get started with Unity and C# programming in a fun and engaging way, this book is for you. You'll still be able to follow along if you don't have programming experience, but knowing the basics will help you get the most out of this book. Table of Contents - Getting to Know Your Environment - The Building Blocks of Programming - Diving into Variables, Types, and Methods - Control Flow and Collection Types - Working with Classes, Structs, and OOP - Getting Your Hands Dirty with Unity - Movement, Camera Controls, and Collisions - Scripting Game Mechanics - Basic AI and Enemy Behavior - Revisiting Types, Methods, and Classes - Specialized Collection Types and LINQ - Saving, Loading, and Serializing Data - Connecting to the World Wide Web - Exploring Generics, Delegates, and Beyond

Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features: - New chapters on type matching, data visualization, dependency management, and more - Comprehensive coverage of Python 3.12 with updated recipes and techniques - Provides practical examples and detailed explanations to solve real-world problems efficiently Book Description: Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases. The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features. What You Will Learn: - Master core Python data structures, algorithms, and design patterns - Implement object-oriented designs and functional programming features - Use type matching and annotations to make more expressive programs - Create useful data visualizations with Matplotlib and Pyplot - Manage project dependencies and virtual environments effectively - Follow best practices for code style and testing - Create clear and trustworthy documentation for your projects Who this book is for: This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful Table of Contents - Numbers, Strings, and Tuples - Statements and Syntax - Function Definitions - Built-In Data Structures Part 1: Lists and Sets - Built-In Data Structures Part 2: Dictionaries - User Inputs and Outputs - Basics of Classes and Objects - More Advanced Class Design - Functional Programming Features - Type Matching and Annotations - Input/Output, Physical Format, and Logical Layout - Graphics and Visualization with Jupyter Lab - Application Integration: Configuration - Application Integration: Combination - Testing - Dependencies and Virtual Environments - Documentation and Style

【Intelligentes OTDR-Messgerät RSO-51】OTDR-Glasfasermessgerät bietet eine Wellenlänge von 1610 nm und einen Dynamikbereich von 26 dB bei einer maximalen Messdistanz von 150 km. Im automatischen Messmodus wählen Sie einfach die Wellenlänge und die Messzeit aus und führen den Test schnell durch. Im Parametereinstellungsmodus können Sie nach der Einstellung von Parametern wie Messdistanz, Impulsbreite und Messdauer testen. Kurve/Karte werden gleichzeitig angezeigt. Das 1610-nm-Modell mit 26 dB unterstützt Live-Tests bei 1310/1490/1550/1577 nm. 【Curve Analysis & Shortest EDZ ADZ & Data Storage】 OTDR fiber tester can analyzes the curve automatially,touch screen zoom or move curves operation.The tested results are displayed in the form of a list.Event list clearly reflects the type of event,distance,loss,decay,reflection. Shortest event dead zone (0.8m) and attenuation dead zone (3m). Save the current one or more curve trajectory graphs ,creat trace reports to the storage path.SOR standard file format PDF/EXCEL. 【OPM LS OLS Tools】5,4-Zoll-IPS-Touchscreen-OTDR-Tester, 1280 x 720 Pixel Auflösung. Optisches Leistungsmessgerät – dient zur Prüfung der optischen Leistung und zur relativen Dämpfungsmessung von Glasfaserverbindungen. Optische Dämpfungsmessung – zur Bestimmung der Einfügedämpfung passiver optischer Bauelemente. 【Ereigniskarte & Netzwerktools】 Ereigniskarte ermöglicht automatische Tests per Knopfdruck und stellt Informationen wie die Länge der zu messenden Glasfaserverbindung, den Verbindungstyp und die Position der Unterbrechung grafisch dar. Leistungsstarke Netzwerktools unterstützen Sie bei der Erkennung und Konfiguration verschiedener Netzwerkparameter. Zu den Netzwerktesttools gehören IP-Adressen-Scanning, Link-Monitoring, Port-Blinking, Ping-Test, LLDP-Erkennung von Switch-Ports, PPPoE und FTP-Dateiverwaltung. 【Kabeltester】Integrierter UTP-Kabeltester, RJ45-TDR-Kabeltester, Kabellängen-App. Testet den Verbindungsstatus von UTP-Kabeln und zeigt ihn auf dem Display an. Erkennt Fehlerstellen am nahen, mittleren und fernen Ende von RJ45-Kabelsteckern und kann auch geschirmte Kabel testen. Der RJ45-TDR-Kabeltester misst den Status von Kabelpaaren, Länge, Dämpfung, Reflexionsgrad, Impedanz, Laufzeitunterschiede usw. Messbereich: 600 Meter (ca. 1969 Fuß). Misst die Position von Unterbrechungen (offenen Stromkreisen) bei BNC-, RJ45- und RJ11-Kabeln usw.

Learn C# programming from scratch using the all-new Unity 6 as a fun and accessible entry point with this updated edition of the bestselling series Key Features: - Build a strong foundation in programming concepts and the C# language - Become confident in the fundamentals and features of Unity in line with Unity 6 - Create a playable game prototype in Unity―a working first-person shooter game prototype - Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Book Description: It's the ability to write custom C# scripts for behaviors and game mechanics that really takes Unity the extra mile. That's where this book will help you as a new programmer! Harrison Ferrone, in this eighth edition of the bestselling series, will take you through the core concepts of programming and the C# language from scratch, while building an engaging and playable game prototype in Unity 6. You'll get to grips with the fundamentals of object-oriented programming (OOP) and the Unity engine with lots of code samples, exercises, and tips to go beyond the book with your work. You'll write C# scripts for simple game mechanics, perform procedural programming, request live data from the web, and add complexity to your games by introducing intelligent enemies and damage-dealing projectiles. You'll also explore the underlying mechanics of Unity game development, including game design, lighting basics, player movement, camera controls, collisions, and more, with every passing chapter. Note: The screenshots in the book display the Unity Editor in full-screen mode for a comprehensive view. You can easily reference color versions of images by downloading them from the GitHub repository or the graphics bundle linked in the book. What You Will Learn: - Master programming fundamentals by breaking them into simple, digestible parts - Understand OOP concepts through clear explanations of C# code samples - Follow simple steps and examples to create and implement C# scripts in Unity 6 - Divide your code into pluggable building blocks using interfaces, abstract classes, and class extensions - Grasp game design document basics and then move on to blocking out your level geometry, adding lighting, and a simple object animation - Create basic game mechanics, such as player controllers and shooting projectiles, using C# Who this book is for: If you're a developer, programmer, hobbyist, or anyone who wants to get started with Unity and C# programming in a fun and engaging way, this book is for you. You'll still be able to follow along if you don't have programming experience, but knowing the basics will help you get the most out of this book. Table of Contents - Getting to Know Your Environment - The Building Blocks of Programming - Diving into Variables, Types, and Methods - Control Flow and Collection Types - Working with Classes, Structs, and OOP - Getting Your Hands Dirty with Unity - Movement, Camera Controls, and Collisions - Scripting Game Mechanics - Basic AI and Enemy Behavior - Revisiting Types, Methods, and Classes - Specialized Collection Types and LINQ - Saving, Loading, and Serializing Data - Connecting to the World Wide Web - Exploring Generics, Delegates, and Beyond

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In this book you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You’ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action with practical code examples in each chapter, culminating into you building your own convolution neural networks, transformers, and even a real-world medical image classifier. In Deep Learning with PyTorch, Second Edition you’ll find: Deep learning fundamentals reinforced with hands-on projects Mastering PyTorch's flexible APIs for neural network development Implementing CNNs, transformers, and diffusion models Optimizing models for training and deployment Generative AI models to create images and text About the technology The powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models. About the book Deep Learning with PyTorch, Second Edition shows you how to build neural network models using the latest version of PyTorch. Clear explanations and practical projects help you master the fundamentals and explore advanced architectures including transformers and LLMs. Along the way you’ll learn techniques for training using augmented data, improving model architecture, and fine tuning. What's inside PyTorch APIs for neural network development LLMs, transformers, and diffusion models Model training and deployment About the reader For Python programmers with a background in machine learning. About the author Howard Huang is a software engineer and developer on the PyTorch library focusing on large scale, distributed training. Eli Stevens , Luca Antiga , and Thomas Viehmann authored the first edition of Deep Learning with PyTorch. Table of Contents Part 1 1 Introducing deep learning and the PyTorch library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize Part 2 9 How transformers work 10 Diffusion models for images 11 Using PyTorch to fight cancer 12 Combining data sources into a unified dataset 13 Training a classification model to detect suspected tumors 14 Improving training with metrics and augmentation 15 Using segmentation to find suspected nodules 16 Training models on multiple GPU

Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provides tools and techniques for efficiently labeling data, modeling a knowledge graph, and using it to derive useful insights. In Knowledge Graphs and LLMs in Action you will learn how to: • Model knowledge graphs with an iterative top-down approach based in business needs • Create a knowledge graph starting from ontologies, taxonomies, and structured data • Use machine learning algorithms to hone and complete your graphs • Build knowledge graphs from unstructured text data sources • Reason on the knowledge graph and apply machine learning algorithms Move beyond analyzing data and start making decisions based on useful, contextual knowledge. The cutting-edge knowledge graphs (KG) approach puts that power in your hands. In Knowledge Graphs and LLMs in Action, you’ll discover the theory of knowledge graphs and learn how to build services that can demonstrate intelligent behavior. You’ll learn to create KGs from first principles and go hands-on to develop advisor applications for real-world domains like healthcare and finance. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Knowledge graphs represent a network of real-world entities—from people and places to genes and proteins—and model the relationships between them. KGs represent a real paradigm shift in the way that machines can understand data by effectively modeling the contextual information that’s vital for human knowledge. They’re poised to help revolutionize data analysis and machine learning, with applications ranging from search engines to e-commerce and more. About the book Knowledge Graphs and LLMs in Action is a practical guide to putting knowledge graphs into action. It’s full of techniques and code samples for building and analyzing knowledge graphs, all demonstrated with serious full-sized datasets. Throughout the book, you’ll find extensive examples and use-cases taken from healthcare, biomedicine, document archive management systems, and even law enforcement. You’ll learn methodologies based on the very latest KG approaches, as well as deep learning graph techniques such as Graph Neural Networks and NLP-based tools like BERT. About the reader For readers who know the basics of machine learning. Examples in Python. About the author Dr. Alessandro Negro is the Chief Scientist at GraphAware. Alessandro has been a speaker at many prominent conferences and is the author of the Manning book Graph-Powered Machine Learning and several scientific publications. He is one of the creators of GraphAware Hume, a mission critical knowledge graph platform. Dr. Vlastimil Kus is the Lead Data Scientist at GraphAware where he contributes to the development of Hume. Over the years he has gained significant experience in building and utilizing Knowledge Graphs from unstructured data using NLP and ML techniques in various domains. His current focus is NLP and Graph Machine Learning. Dr. Giuseppe Futia is Senior Data Scientist at GraphAware and a Fellow at the Nexa Center for Internet & Society. He holds a Ph.D. in computer engineering from the Politecnico di Torino (Italy), where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs. Fabio Montagna is the Lead Machine Learning Engineer at GraphAware. He holds a master’s degree in software engineering from Unisalento (Italy). As a bridge between science and industry, he assists with moving rapidly from scientific reasoning to product value.

Get to grips with top open-source Intelligence (OSINT) tools, build threat intelligence, and create a resilient cyber defense against evolving online threats Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Familiarize yourself with the best open-source intelligence tools such as Maltego, Shodan, and Aircrack-ng Develop an OSINT-driven threat intelligence program to mitigate cyber risks Leverage the power of information through OSINT with real-world case studies Book DescriptionThe OSINT Handbook offers practical guidance and insights to enhance your OSINT capabilities and counter the surge in online threats that this powerful toolset was built to tackle. Starting with an introduction to the concept of OSINT, this book will take you through all the applications, as well as the legal and ethical considerations associated with OSINT research. You'll conquer essential techniques for gathering and analyzing information using search engines, social media platforms, and other web-based resources. As you advance, you'll get to grips with anonymity and techniques for secure browsing, managing digital footprints, and creating online personas. You'll also gain hands-on experience with popular OSINT tools such as Recon-ng, Maltego, Shodan, and Aircrack-ng, and leverage OSINT to mitigate cyber risks with expert strategies that enhance threat intelligence efforts. Real-world case studies will illustrate the role of OSINT in anticipating, preventing, and responding to cyber threats. By the end of this book, you'll be equipped with both the knowledge and tools to confidently navigate the digital landscape and unlock the power of information using OSINT. *Email sign-up and proof of purchase requiredWhat you will learn Work with real-life examples of OSINT in action and discover best practices Automate OSINT collection and analysis Harness social media data for OSINT purposes Manage your digital footprint to reduce risk and maintain privacy Uncover and analyze hidden information within documents Implement an effective OSINT-driven threat intelligence program Leverage OSINT techniques to enhance organizational security Who this book is for This book is for ethical hackers and security professionals who want to expand their cybersecurity toolbox and stay one step ahead of online threats by gaining comprehensive insights into OSINT tools and techniques. Basic knowledge of cybersecurity concepts is required.

Unlock the full power of Microsoft Azure for creating, deploying, and managing applications. Through developer-friendly language and hands-on examples, Microsoft Azure in Action teaches you how to quickly master the core principles of cloud computing and start creating Azure-powered apps and architectures. In Microsoft Azure in Action you will learn how to: Design and deploy high-performing cloud applications Store, manage, and retrieve data at scale Take command with PowerShell and the Azure CLI Configure blob storage, launch VMs, and run serverless workloads Protect your infrastructure with Azure’s built-in security features Fine-tune performance for services like App Services and virtual machines Microsoft Azure in Action is your fast-track guide to building and managing applications on Microsoft’s industry-leading cloud platform. You’ll explore the foundational pillars of Azure—compute; networking, and storage—that power everything on the platform. Packed with hands-on examples, clear guidance, and a touch of wit, this book makes learning Azure both practical and genuinely enjoyable. About the technology Microsoft Azure is a massive cloud platform offering everything from basic compute and storage to enterprise infrastructure and on-demand AI. This book helps you navigate Azure, with the hands-on advice and examples you need to create, deploy, and manage business applications of any scale. About the book Learn what’s in Microsoft Azure in Action and you’ll be on a path to Azure mastery. It is packed with real-world scenarios including setting up serverless architectures, using Azure’s powerful AI models, providing self-service developer infrastructure, and even creating on the-fly applications. Whether you’re taking on infrastructure optimization, security, performance enhancement, or application architecture decisions, author Lars Klint’s light touch keeps dry technical details from becoming boring. What's inside Command-line control with PowerShell and Azure CLI Manage blob storage, VMs, and serverless apps Infrastructure security Optimize performance About the reader For software developers. Assumes familiarity with a scripting language like PowerShell. About the author Lars Klint is a Microsoft MVP, trainer, community leader, Azure expert, Lego aficionado, and classic car collector. Table of Contents Part 1 1 What is Microsoft Azure? 2 Using Azure: Azure Functions and image processing Part 2 3 Using virtual machines 4 Networking in Azure 5 Storage 6 Security 7 Azure AI Part 3 8 Serverless 9 Optimizing storage 10 Relational databases 11 Azure Cosmos DB Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Learn to transform LLM capabilities into production-ready agent systems using practical patterns and domain-driven approaches, guided by Imran Ahmad, author of 50 Algorithms Every Programmer Should Know Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features: - Design and implement 30 proven agent architectures used in real-world production environments - Build scalable, secure, and resilient agent workflows that move beyond simple chat interfaces - Master core agentic principles-perception, memory, reasoning, and planning-to create truly autonomous systems Book Description: As AI evolves from passive tools into proactive collaborators, intelligent agents are leading a fundamental shift in computing. This guide provides the critical knowledge of agent architectures, practical tools, and industry approaches needed to build robust, autonomous AI systems that do more than just generate text-they act. You will begin by mastering foundational capabilities: perception, memory, reasoning, planning, and learning. You'll gain deep insight into the cognitive loops that drive autonomous behavior and build sophisticated architectures using frameworks such as LangChain and LangGraph. The book explores high-impact applications across diverse sectors, including software development, finance, manufacturing, legal and education, to show how agents optimize workflows, automate quality control, and enhance advisory systems. Through real-world case studies, you will create agents capable of contextual reasoning, effective tool use, and seamless human collaboration. Finally, you'll learn essential strategies for deployment, management, and ethical alignment, ensuring your AI solutions are both scalable and responsible in production environments. Whether you're building your first intelligent agent or improving business systems, this book provides clear, actionable guidance for creating scalable and responsible AI solutions. *Email sign-up and proof of purchase required What You Will Learn: - Deploy production-ready agent systems that scale securely and reliably - Use LangChain and LangGraph to build autonomous agents with modular architectures - Implement agents with sophisticated memory, planning, and reasoning capabilities - Seamlessly integrate tools, APIs, and external data into agent workflows - Establish robust evaluation frameworks to measure and optimize agent performance - Implement guardrails and explainability features to ensure ethical and safe deployment - Build multi-agent systems for complex, collaborative task orchestration - Apply specific agent architectures across healthcare, finance, and legal domains Who this book is for: This book is designed for AI engineers, software developers, machine learning researchers, and technical leaders who are building intelligent systems or deploying LLM-powered applications. It is particularly beneficial for professionals transitioning from traditional machine learning to agent-based architectures or those solving complex automation challenges. Python experience and basic machine learning knowledge are recommended to get the most out of the code implementations. Table of Contents - Foundations Of Agent Engineering - The Agent Engineer's Toolkit - The Art of Agent Prompting - Agent Deployment and Responsible Development - Foundational Cognitive Architectures - Information Retrieval and Knowledge Agents - Tool Manipulation and Orchestration Agents - Data Analysis and Reasoning Agents - Software Development Agents (N.B. Please use the Read Sample option to see further chapters)

Unlock over 100 recipes for mastering Microsoft 365. Boost productivity with Copilot, collaborate with SharePoint and Teams, automate tasks, create apps and reports using Power Automate (with RPA), Power Apps, Power BI, and more. Free With Your Book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Enhance collaboration and productivity using SharePoint, Teams, OneDrive, Viva, Planner, and Microsoft Forms Automate processes, build apps, bots, and dashboards with Power Automate (with RPA), Power Apps, Copilot Studio, and Power BI Harness Copilot, the new AI virtual assistant, for seamless support in your everyday tasks Book DescriptionMicrosoft 365 offers tools for content management, communication, process automation, and report creation. Microsoft 365 and SharePoint Online Cookbook maximizes workplace collaboration and productivity using SharePoint Online, Teams, OneDrive, Delve, M365 Search, Copilot, Power Platform, Viva, Planner, and Microsoft Forms. You will find thoroughly updated recipes for SharePoint Online, covering sites, lists, libraries, pages, web parts, and learn SharePoint Framework (SPFx) basics for building solutions. You will explore many Microsoft Teams recipes to prepare it to be your organization's central collaboration hub. You will be able to unlock Power Platform potential with recipes for Power Apps to enable low-code/no-code app development and learn to automate tasks with Power Automate and Power Automate Desktop. The book teaches you data visualization with Power BI, and chatbot creation with Power Virtual Agents (Copilot Studio). Finally, you will also learn about the cutting-edge Copilot and Gen AI functionality in Microsoft 365 and Power Platform. By the end, you will be equipped with skills to effectively use Microsoft 365, SharePoint Online, and the Power Platform. Whether it's enhancing career prospects or improving business operations, this book is a perfect companion on your journey through the Microsoft Office 365 suite. *Email sign-up and proof of purchase requiredWhat you will learn Collaborate effectively with SharePoint, Teams, OneDrive, Delve, Search, and Viva Boost creativity and productivity with Microsoft Copilot Develop and deploy custom applications using Power Apps Create custom bots using Power Virtual Agents (Copilot Studio) Integrate with other apps, automate workflows and repetitive processes with Power Automate/Desktop (RPA) Design reports and engaging dashboards with Power BI Utilize Planner, To Do, and gather feedback with polls and surveys in Microsoft Forms Experience seamless integration in the mobile platform Who this book is for This cookbook caters to professionals stepping into the world of Microsoft 365 and SharePoint Online. It is tailored for a broad spectrum of skillsets including general business professionals, IT administrators, and enterprise architects who are newcomers to Microsoft 365, offering valuable insights for establishing a contemporary, digital workplace effectively.

Create automated security policies for Palo Alto Networks firewalls that transform manual processes into scalable, code-based solutions Key Features: - Streamline security policy deployment using Python and automation tools - Learn how PAN-OS processes and secures enterprise network traffic - Implement automated security actions for real-time threat mitigation - Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Book Description: Palo Alto Networks firewalls are the gold standard in enterprise security, but managing them manually often leads to endless configurations, error-prone changes, and difficulty maintaining consistency across deployments. Written by cybersecurity experts with deep Palo Alto Networks experience, this book shows you how to transform firewall management with automation, using a code-driven approach that bridges the gap between powerful technology and practical implementation. You'll start with next-gen firewall fundamentals before advancing to designing enterprise-grade security policies, applying threat prevention profiles, URL filtering, TLS decryption, and application controls to build a complete policy framework. Unlike other resources that focus on theory or vendor documentation, this hands-on guide covers best practices and real-world strategies. You'll learn how to automate policy deployment using Python and PAN-OS APIs, structure firewall configurations as code, and integrate firewalls with IT workflows and infrastructure-as-code tools. By the end of the book, you'll be able to design, automate, test, and migrate firewall policies with confidence, gaining practical experience in quality assurance techniques, pilot testing, debugging, and phased cutovers-all while maintaining security and minimizing business impact. What You Will Learn: - Master next-generation firewall fundamentals - Design enterprise-grade security policies for the Internet gateway - Apply App-ID, URL filtering, and threat prevention - Automate policy deployment using Python, PAN-OS APIs, SDKs, and IaC tools - Customize response pages with Jinja2 and integrate them into service desk workflows - Test and validate with QA techniques and pilot testing - Migrate policies with confidence and zero downtime Who this book is for: This book is for firewall engineers, security engineers, consultants, technical architects, and CISOs who want to enhance their network security expertise through Policy as Code on Palo Alto Networks firewalls. It's also perfect for those with working knowledge of Python programming and hands-on experience with Palo Alto Networks' Next-Gen firewalls, whether in business, government, or education. This book will help network engineers, security architects, and DevSecOps professionals simplify firewall management and reduce operational overhead. Table of Contents - Next-Gen Firewall Fundamentals - Navigating Real-World Firewall Management and Cyber Risks - PAN-OS Security Policy Features: Connection Matching - PAN-OS Security Policy Features: Connection Processing - Security Policy Design - Firewall Automation and Management Choices - Setting Up Your Software Development Environment - Policy to Code: Foundations - Policy to Code: Advanced - Quality Assurance and Testing - Your First Cutover and Next Steps

Learn to transform LLM capabilities into production-ready agent systems using practical patterns and domain-driven approaches, guided by Imran Ahmad, author of 50 Algorithms Every Programmer Should Know Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features: - Design and implement 30 proven agent architectures used in real-world production environments - Build scalable, secure, and resilient agent workflows that move beyond simple chat interfaces - Master core agentic principles-perception, memory, reasoning, and planning-to create truly autonomous systems Book Description: As AI evolves from passive tools into proactive collaborators, intelligent agents are leading a fundamental shift in computing. This guide provides the critical knowledge of agent architectures, practical tools, and industry approaches needed to build robust, autonomous AI systems that do more than just generate text-they act. You will begin by mastering foundational capabilities: perception, memory, reasoning, planning, and learning. You'll gain deep insight into the cognitive loops that drive autonomous behavior and build sophisticated architectures using frameworks such as LangChain and LangGraph. The book explores high-impact applications across diverse sectors, including software development, finance, manufacturing, legal and education, to show how agents optimize workflows, automate quality control, and enhance advisory systems. Through real-world case studies, you will create agents capable of contextual reasoning, effective tool use, and seamless human collaboration. Finally, you'll learn essential strategies for deployment, management, and ethical alignment, ensuring your AI solutions are both scalable and responsible in production environments. Whether you're building your first intelligent agent or improving business systems, this book provides clear, actionable guidance for creating scalable and responsible AI solutions. *Email sign-up and proof of purchase required What You Will Learn: - Deploy production-ready agent systems that scale securely and reliably - Use LangChain and LangGraph to build autonomous agents with modular architectures - Implement agents with sophisticated memory, planning, and reasoning capabilities - Seamlessly integrate tools, APIs, and external data into agent workflows - Establish robust evaluation frameworks to measure and optimize agent performance - Implement guardrails and explainability features to ensure ethical and safe deployment - Build multi-agent systems for complex, collaborative task orchestration - Apply specific agent architectures across healthcare, finance, and legal domains Who this book is for: This book is designed for AI engineers, software developers, machine learning researchers, and technical leaders who are building intelligent systems or deploying LLM-powered applications. It is particularly beneficial for professionals transitioning from traditional machine learning to agent-based architectures or those solving complex automation challenges. Python experience and basic machine learning knowledge are recommended to get the most out of the code implementations. Table of Contents - Foundations Of Agent Engineering - The Agent Engineer's Toolkit - The Art of Agent Prompting - Agent Deployment and Responsible Development - Foundational Cognitive Architectures - Information Retrieval and Knowledge Agents - Tool Manipulation and Orchestration Agents - Data Analysis and Reasoning Agents - Software Development Agents (N.B. Please use the Read Sample option to see further chapters)

Discover the new features and techniques of the most modern versions of Angular. The powerful Angular framework is ever-evolving, with each new iteration bringing amazing new modern features. Modern Angular gets you rapidly up to speed with Angular's latest innovations. Inside Modern Angular you'll learn how to: Create modern Angular apps with the newest framework capabilities Setting up and structuring your Angular projects Implement advanced testing strategies for Angular Benefit from new improvements in debugging, image loading, and component inputs Apply state management with reactive programming Explore signals and server-side rendering Migrate legacy Angular projects to modern practices Refactor old Angular patterns using new techniques Use modern performance optimization approaches to improve User Experience Discover new ways of working with components, dependency injection, RxJS, Signals, and more—all through building a complete enterprise-grade HR management system! You'll soon be improving your daily development with Angular's quality-of-life features, upgrading your app's performance with server-side rendering, and getting ready for what's coming Angular's future. Plus, detailed migration guides demonstrate ways to update existing apps to modern patterns, and make it easy to modernize your legacy code. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Modern web applications have to handle serious challenges, such as complex state management, reactive programming, and SEO. With a host of new features, ecosystem tools, and programming practices, the Angular web framework tackles modern web development head on. If you haven't tried modern Angular, you're in for a treat! About the book Modern Angular updates your web development skills to take advantage of new Angular features like signals, server-side rendering, and zoneless change detection. Each chapter explores an exciting capability by adding it hands-on to a full-featured app for managing HR systems. Along the way, you'll explore dependency injection, RxJS, and standalone components, and pick up techniques for upgrading legacy apps. What's inside Advanced testing strategies RxJS and custom operators Performance and search engine optimization Migrate legacy Angular projects About the reader For experienced Angular developers. Covers Angular versions 12 and later. About the author Armen Vardanyan is a developer, educator, and Google Developer Expert for Angular. He writes articles about Angular, TypeScript, NgRx, and is a panelist for the popular Adventures in Angular podcast. Table of Contents 1 Welcome to modern Angular 2 A standalone future 3 Revitalized dependency injection 4 New capabilities of Angular building blocks 5 RxJS in modern Angular 6 Signals: A new approach to reactive programming 7 Signals: A deep dive 8 Unit testing in modern Angular 9 Modern Angular everywhere 10 What's next in modern Angular?

An irresistible and enchanting journey through human history--from mankind's earliest fires to the latest smart phones--that tells the surprising and untold story of storytelling. Joan Didion told us, "We tell ourselves stories in order to live." And yet, the story of stories has never been told until now. MIT technology pioneer Kevin Ashton was at the forefront of the digital revolution that led to the invention of the smartphone, the ultimate storytelling device. This latest technology in the long arc of human storytelling allows anyone, for the first time in history, to tell stories to everyone. In The Story of Stories, Ashton tells the untold story of storytelling. The result is an eye-opening, compelling journey through the eight great revolutions of storytelling, all of which follow a simple pattern: each major new storytelling tool increases the number of people who can share stories and the number of people with whom those stories can be shared. Our first night-fires created the earliest audiences for spoken stories. Language did not lead us to stories; stories led us to language. In time, the development of rhyme, song, and other mnemonic devices allowed those spoken stories to be preserved for generations; pictures drawn on cave walls turned preservation into permanence, telling stories we still experience thousands of years later; writing enabled storytellers to spread tales to faraway places; the Chinese invented printing with moveable metal type around 700 CE; the Toltecs independently invented it at about the same time; 750 years later Gutenberg independently invented it again, adding a converted wine press to create the mass production of mass communication. Over time, printing presses increased the number of storytellers and the size of their audiences by many orders of magnitude, a trend which led us to great revolutions, and electric, then electronic, then digital storytelling and all our storytelling tools of today--and tomorrow's. In this remarkable book, more than twenty-five years in the making, Ashton looks at the development of human storytelling to help us understand where we are in the latest iteration that is the digital era. Drawing on examples from art, literature, music, and pop culture, from the Bible to Bon Jovi, Aristotle to Artificial Intelligence, Frederick Douglass to Facebook, and cave paintings to cinema, The Story of Stories is a passionate and crucial exploration of how stories and the tools we use to tell them continue to change us, cause revolutions, and connect us to each other and give our lives meaning. Supplemental enhancement PDF accompanies the audiobook.

Unlock the full power of Microsoft Azure for creating, deploying, and managing applications. Through developer-friendly language and hands-on examples, Microsoft Azure in Action teaches you how to quickly master the core principles of cloud computing and start creating Azure-powered apps and architectures. In Microsoft Azure in Action you will learn how to: • Design and deploy high-performing cloud applications • Store, manage, and retrieve data at scale • Take command with PowerShell and the Azure CLI • Configure blob storage, launch VMs, and run serverless workloads • Protect your infrastructure with Azure’s built-in security features • Fine-tune performance for services like App Services and virtual machines Microsoft Azure in Action is your fast-track guide to building and managing applications on Microsoft’s industry-leading cloud platform. You’ll explore the foundational pillars of Azure—compute; networking, and storage—that power everything on the platform. Packed with hands-on examples, clear guidance, and a touch of wit, this book makes learning Azure both practical and genuinely enjoyable. About the technology Microsoft Azure is a massive cloud platform offering everything from basic compute and storage to enterprise infrastructure and on-demand AI. This book helps you navigate Azure, with the hands-on advice and examples you need to create, deploy, and manage business applications of any scale. About the book Learn what’s in Microsoft Azure in Action and you’ll be on a path to Azure mastery. It is packed with real-world scenarios including setting up serverless architectures, using Azure’s powerful AI models, providing self-service developer infrastructure, and even creating on the-fly applications. Whether you’re taking on infrastructure optimization, security, performance enhancement, or application architecture decisions, author Lars Klint’s light touch keeps dry technical details from becoming boring. What's inside • Command-line control with PowerShell and Azure CLI • Manage blob storage, VMs, and serverless apps • Infrastructure security • Optimize performance About the reader For software developers. Assumes familiarity with a scripting language like PowerShell. About the author Lars Klint is a Microsoft MVP, trainer, community leader, Azure expert, Lego aficionado, and classic car collector. Table of Contents Part 1 1 What is Microsoft Azure? 2 Using Azure: Azure Functions and image processing Part 2 3 Using virtual machines 4 Networking in Azure 5 Storage 6 Security 7 Azure AI Part 3 8 Serverless 9 Optimizing storage 10 Relational databases 11 Azure Cosmos DB Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

HIGH QUALITY MATERIALS, DURABLE UPGRADE: This product is made of high hardness red steel to create upgraded collets and columns, which are more durable compared to traditional materials. Other accessories are forged from high quality chrome vanadium steel, after heat treatment, with high hardness, high toughness, and not easy to rust, to ensure the stability and reliability of long-term use. Meet diverse needs: Equipped with 6 different sizes of collets and 2 extra sets of the most commonly used pulling heads as a spare, suitable for bearings of various shapes and sizes. The additional 3 hooks make it easy to remove more bearings of different sizes. Meanwhile, 4 different types of ejector spacers can better apply force in pushing out bearings to meet your diversified needs. Powerful function: This product is suitable for a variety of bearing sizes from 6005 to 6310, and is equipped with three extra claw hooks, which can be used to dismantle more different types of bearings, gears and kits, which is comprehensive and powerful. Easy operation: Choose the appropriate collet according to the bearing type, insert it between the inner and outer rings of the bearing and rotate it 90 degrees to ensure that the collet locks onto the bearing. The bearing can be pulled out by continuously rotating the screw ejector, and it can also be used with the ejector spacer to increase the contact area between the ejector and the bearing, which makes the operation easier and faster. Organized and easy to carry: Equipped with a newly designed plastic storage box, all the accessories are categorized and neatly stored, which makes it easy for you to carry, store and find the accessories at any time.In addition, we also provide an illustrated manual (or contact us for a PDF version of the manual) to help you quickly install and use this product and enjoy a hassle-free shopping experience.

Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provides tools and techniques for efficiently labeling data, modeling a knowledge graph, and using it to derive useful insights. In Knowledge Graphs and LLMs in Action you will learn how to: Model knowledge graphs with an iterative top-down approach based in business needs Create a knowledge graph starting from ontologies, taxonomies, and structured data Use machine learning algorithms to hone and complete your graphs Build knowledge graphs from unstructured text data sources Reason on the knowledge graph and apply machine learning algorithms Move beyond analyzing data and start making decisions based on useful, contextual knowledge. The cutting-edge knowledge graphs (KG) approach puts that power in your hands. In Knowledge Graphs and LLMs in Action, you’ll discover the theory of knowledge graphs and learn how to build services that can demonstrate intelligent behavior. You’ll learn to create KGs from first principles and go hands-on to develop advisor applications for real-world domains like healthcare and finance. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Knowledge graphs represent a network of real-world entities—from people and places to genes and proteins—and model the relationships between them. KGs represent a real paradigm shift in the way that machines can understand data by effectively modeling the contextual information that’s vital for human knowledge. They’re poised to help revolutionize data analysis and machine learning, with applications ranging from search engines to e-commerce and more. About the book Knowledge Graphs and LLMs in Action is a practical guide to putting knowledge graphs into action. It’s full of techniques and code samples for building and analyzing knowledge graphs, all demonstrated with serious full-sized datasets. Throughout the book, you’ll find extensive examples and use-cases taken from healthcare, biomedicine, document archive management systems, and even law enforcement. You’ll learn methodologies based on the very latest KG approaches, as well as deep learning graph techniques such as Graph Neural Networks and NLP-based tools like BERT. About the reader For readers who know the basics of machine learning. Examples in Python. About the author Dr. Alessandro Negro is the Chief Scientist at GraphAware. Alessandro has been a speaker at many prominent conferences and is the author of the Manning book Graph-Powered Machine Learning and several scientific publications. He is one of the creators of GraphAware Hume, a mission critical knowledge graph platform. Dr. Vlastimil Kus is the Lead Data Scientist at GraphAware where he contributes to the development of Hume. Over the years he has gained significant experience in building and utilizing Knowledge Graphs from unstructured data using NLP and ML techniques in various domains. His current focus is NLP and Graph Machine Learning. Dr. Giuseppe Futia is Senior Data Scientist at GraphAware and a Fellow at the Nexa Center for Internet & Society. He holds a Ph.D. in computer engineering from the Politecnico di Torino (Italy), where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs. Fabio Montagna is the Lead Machine Learning Engineer at GraphAware. He holds a master’s degree in software engineering from Unisalento (Italy). As a bridge between science and industry, he assists with moving rapidly from scientific reasoning to product value.

Discover the full power of modern C programming, with an inside look at the new C23 standard. For programs that need to be small, fast, and reliable, C is the gold standard. Whether you're writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23. In Modern C, Third Edition you'll: Learn C basics, core features, and advanced concepts Leverage major C23 improvements for security, reliability, and performance Write portable code that runs anywhere Build multi-threaded applications with atomics and synchronization Create robust and resilient software with error handling Use type-generic programming for reusable code In Modern C, Third Edition you'll learn to harness C's full potential using the latest tools and techniques. After a quick review of the fundamentals suited for coders who haven't used C in a while, this book guides you to mastery of C23, the latest ISO standard. About the Technology From code running on the smallest embedded devices to the low-level libraries behind popular programming languages like Python and Ruby, the software world depends on C. And even after 50 years, it's still getting better! The new C23 standard adds improvements for security, reliability, and performance. In this thoroughly-revised new edition, author Jens Gustedt gives you an authoritative inside view. About the Book Modern C, Third Edition is a fast-paced introduction to the C language, with special attention on its most modern features. It starts with a quick review of structure, grammar, and execution and then progresses quickly to control structures, data types, operators, and other core language features. Fully revised for C23, this expanded Third Edition covers compound expressions and lambdas, new insights into approaching program failure, and how to transition smoothly to C23. What's Inside All major C23 features Portable code that runs anywhere Multi-threaded applications with atomics and synchronization Use type-generic programming for reusable code About the Readers For readers with intermediate skills in any programming language. About the Author Jens Gustedt is a senior scientist at the French National Institute for Computer Science and Control (INRIA), deputy director of the ICube lab in Strasbourg, France, and an active member of the ISO C standards committee. Table of Contents Level 0 Encounter 1 Getting started 2 The principal structure of a program Level 1 Acquaintance 3 Everything is about control 4 Expressing computations 5 Basic values and data 6 Derived data types 7 Functions 8 C library functions Level 2 Cognition 9 Style 10 Organization and documentation 11 Pointers 12 The C memory model 13 Storage 14 More involved processing and I/O 15 Program failure Level 3 Experience 16 Performance 17 Function-like macros 18 Type-generic programming 19 Variations in control flow 20 Threads 21 Atomic access and memory consistency A Transitional code B C compilers C C libraries Takeaways Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Create automated security policies for Palo Alto Networks firewalls that transform manual processes into scalable, code-based solutions Key Features: - Streamline security policy deployment using Python and automation tools - Learn how PAN-OS processes and secures enterprise network traffic - Implement automated security actions for real-time threat mitigation - Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Book Description: Palo Alto Networks firewalls are the gold standard in enterprise security, but managing them manually often leads to endless configurations, error-prone changes, and difficulty maintaining consistency across deployments. Written by cybersecurity experts with deep Palo Alto Networks experience, this book shows you how to transform firewall management with automation, using a code-driven approach that bridges the gap between powerful technology and practical implementation. You'll start with next-gen firewall fundamentals before advancing to designing enterprise-grade security policies, applying threat prevention profiles, URL filtering, TLS decryption, and application controls to build a complete policy framework. Unlike other resources that focus on theory or vendor documentation, this hands-on guide covers best practices and real-world strategies. You'll learn how to automate policy deployment using Python and PAN-OS APIs, structure firewall configurations as code, and integrate firewalls with IT workflows and infrastructure-as-code tools. By the end of the book, you'll be able to design, automate, test, and migrate firewall policies with confidence, gaining practical experience in quality assurance techniques, pilot testing, debugging, and phased cutovers-all while maintaining security and minimizing business impact. What You Will Learn: - Master next-generation firewall fundamentals - Design enterprise-grade security policies for the Internet gateway - Apply App-ID, URL filtering, and threat prevention - Automate policy deployment using Python, PAN-OS APIs, SDKs, and IaC tools - Customize response pages with Jinja2 and integrate them into service desk workflows - Test and validate with QA techniques and pilot testing - Migrate policies with confidence and zero downtime Who this book is for: This book is for firewall engineers, security engineers, consultants, technical architects, and CISOs who want to enhance their network security expertise through Policy as Code on Palo Alto Networks firewalls. It's also perfect for those with working knowledge of Python programming and hands-on experience with Palo Alto Networks' Next-Gen firewalls, whether in business, government, or education. This book will help network engineers, security architects, and DevSecOps professionals simplify firewall management and reduce operational overhead. Table of Contents - Next-Gen Firewall Fundamentals - Navigating Real-World Firewall Management and Cyber Risks - PAN-OS Security Policy Features: Connection Matching - PAN-OS Security Policy Features: Connection Processing - Security Policy Design - Firewall Automation and Management Choices - Setting Up Your Software Development Environment - Policy to Code: Foundations - Policy to Code: Advanced - Quality Assurance and Testing - Your First Cutover and Next Steps