A Treatise on Systems (volume 2)
This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomena. The closer one is the intrinsic scale of a system component, the more its qualitative semantics dominate its behaviour. As one scales out to large numbers, dynamical patterns dominate the average behaviours.This book serves as guide to graduate students and researchers in the development of a new science of systems, and contains an outstanding number of examples and lessons accumulated over ten years of working in the field, unified by a single theoretical Promise Theoretic model. ...
This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomena. The closer one is the intrinsic scale of a system component, the more its qualitative semantics dominate its behaviour. As one scales out to large numbers, dynamical patterns dominate the average behaviours.This book serves as guide to graduate students and researchers in the development of a new science of systems, and contains an outstanding number of examples and lessons accumulated over ten years of working in the field, unified by a single theoretical Promise Theoretic model. ...
Practical Cloud Native Security with Falco
As more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. Protecting modern, cloud native applications from threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on threat detection and show you how to get Falco up and running, plus advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environments; Detect configuration changes and unexpected behavior in the cloud; Protect containers, Kubernetes, and cloud applications using Falco; Run, deploy, and customize Falco; Deploy, configure, and ...
As more and more organizations migrate their applications to the cloud, cloud native computing has become the dominant way to approach software development and execution. Protecting modern, cloud native applications from threats requires the ability to defend them at runtime, when they're most vulnerable to attacks. This practical guide introduces you to Falco, the open source standard for continuous risk and threat detection across Kubernetes, containers, and the cloud. Falco creator Loris Degioanni and core maintainer Leonardo Grasso bring you up to speed on threat detection and show you how to get Falco up and running, plus advanced topics such as deploying Falco in production and writing your own security rules. You'll learn how to: Leverage runtime security in cloud native environments; Detect configuration changes and unexpected behavior in the cloud; Protect containers, Kubernetes, and cloud applications using Falco; Run, deploy, and customize Falco; Deploy, configure, and ...
Full Stack GraphQL Applications
The GraphQL query language radically reduces over-fetching or under-fetching of data by constructing precise graph-based data requests. In Full Stack GraphQL Applications you'll learn how to build graph-aware web applications that take full advantage of GraphQL's amazing efficiency. Neo4j's William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch. He reveals how you can build your web apps with GraphQL, React, Apollo, and Neo4j Database, aka "the GRANDstack," to get maximum performance out of GraphQL. The GraphQL API query language radically streamlines data exchanges with backend servers by representing application data as easy-to-understand graphs. You can amplify GraphQL's benefits by using graph-aware tools and data stores, like React, Apollo, and Neo4j, throughout your application. A full stack graph approach provides a consistent data model end to end, reducing friction in data fetching and increasing developer productivit ...
The GraphQL query language radically reduces over-fetching or under-fetching of data by constructing precise graph-based data requests. In Full Stack GraphQL Applications you'll learn how to build graph-aware web applications that take full advantage of GraphQL's amazing efficiency. Neo4j's William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch. He reveals how you can build your web apps with GraphQL, React, Apollo, and Neo4j Database, aka "the GRANDstack," to get maximum performance out of GraphQL. The GraphQL API query language radically streamlines data exchanges with backend servers by representing application data as easy-to-understand graphs. You can amplify GraphQL's benefits by using graph-aware tools and data stores, like React, Apollo, and Neo4j, throughout your application. A full stack graph approach provides a consistent data model end to end, reducing friction in data fetching and increasing developer productivit ...
Deep Learning with R, 2nd Edition
Deep Learning with R, 2nd Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. Deep Learning with R, 2nd Edition is a hands-on guide to deep learning using the R language. As you move thr ...
Deep Learning with R, 2nd Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. Deep Learning with R, 2nd Edition is a hands-on guide to deep learning using the R language. As you move thr ...
Pro Data Mashup for Power BI
This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish instant connections to databases and data warehouses and avoid loading data. The book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze. This covers data cleansing, data modification, and standardization as well as merging source data into robust data structures that can feed into your data model. You will learn how to pivot and transpose data and extrapolate missing values as well as harness external programs such as R and Python into a Power Query data flow. You also will see how to handle errors ...
This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish instant connections to databases and data warehouses and avoid loading data. The book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze. This covers data cleansing, data modification, and standardization as well as merging source data into robust data structures that can feed into your data model. You will learn how to pivot and transpose data and extrapolate missing values as well as harness external programs such as R and Python into a Power Query data flow. You also will see how to handle errors ...
Exploring Graphs with Elixir
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We'll start from the basics and examine the main graph paradigms. Get ready to embrace the world of connected data! Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distribute ...
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We'll start from the basics and examine the main graph paradigms. Get ready to embrace the world of connected data! Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distribute ...
Programming Phoenix LiveView
The days of the traditional request-response web application are long gone, but you don't have to wade through oceans of JavaScript to build the interactive applications today's users crave. The innovative Phoenix LiveView library empowers you to build applications that are fast and highly interactive, without sacrificing reliability. This definitive guide to LiveView isn't a reference manual. Learn to think in LiveView. Write your code layer by layer, the way the experts do. Explore techniques with experienced teachers to get the best possible performance. Instead of settling for traditional manuals and tutorials, get insights that can only be learned from experience. Start with the Elixir language techniques that effortlessly marry your client templates and server-side handlers. Design your systems with the right layers in the right places so that your code is easier to understand, change, and support. Explore features like multi-part uploads and learn how to comprehensively test ...
The days of the traditional request-response web application are long gone, but you don't have to wade through oceans of JavaScript to build the interactive applications today's users crave. The innovative Phoenix LiveView library empowers you to build applications that are fast and highly interactive, without sacrificing reliability. This definitive guide to LiveView isn't a reference manual. Learn to think in LiveView. Write your code layer by layer, the way the experts do. Explore techniques with experienced teachers to get the best possible performance. Instead of settling for traditional manuals and tutorials, get insights that can only be learned from experience. Start with the Elixir language techniques that effortlessly marry your client templates and server-side handlers. Design your systems with the right layers in the right places so that your code is easier to understand, change, and support. Explore features like multi-part uploads and learn how to comprehensively test ...
Hacking APIs
An Application Programming Interface (API) is a software connection that allows applications to communicate and share services. Hacking APIs will teach you how to test web APIs for security vulnerabilities. You'll learn how the common API types, REST, SOAP, and GraphQL, work in the wild. Then you'll set up a streamlined API testing lab and perform common attacks, like those targeting an API's authentication mechanisms, and the injection vulnerabilities commonly found in web applications. In the book's guided labs, which target intentionally vulnerable APIs. By the end of the book, you'll be prepared to uncover those high-payout API bugs that other hackers aren't finding, and improve the security of applications on the web. ...
An Application Programming Interface (API) is a software connection that allows applications to communicate and share services. Hacking APIs will teach you how to test web APIs for security vulnerabilities. You'll learn how the common API types, REST, SOAP, and GraphQL, work in the wild. Then you'll set up a streamlined API testing lab and perform common attacks, like those targeting an API's authentication mechanisms, and the injection vulnerabilities commonly found in web applications. In the book's guided labs, which target intentionally vulnerable APIs. By the end of the book, you'll be prepared to uncover those high-payout API bugs that other hackers aren't finding, and improve the security of applications on the web. ...
Microservices Reference Architecture
The move to microservices is a seismic shift in web application development and delivery. Because we believe moving to microservices is crucial to the success of our customers, we at NGINX have launched a dedicated program to develop NGINX software features and development practices in support of microservices. We also recognize that there are many different approaches to implementing microservices, many of them novel and specific to the needs of individual development teams. We think there is a need for models to make it easier for companies to develop and deliver their own microservices?based applications. With all this in mind, we have developed the NGINX Microservices Reference Architecture (MRA) - a set of models that you can use to create your own microservices applications. ...
The move to microservices is a seismic shift in web application development and delivery. Because we believe moving to microservices is crucial to the success of our customers, we at NGINX have launched a dedicated program to develop NGINX software features and development practices in support of microservices. We also recognize that there are many different approaches to implementing microservices, many of them novel and specific to the needs of individual development teams. We think there is a need for models to make it easier for companies to develop and deliver their own microservices?based applications. With all this in mind, we have developed the NGINX Microservices Reference Architecture (MRA) - a set of models that you can use to create your own microservices applications. ...
Practical MATLAB Deep Learning, 2nd Edition
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigation; An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning; Stock market prediction; Natural language processing; Music creation usng generative deep learning; Plasma control; Earth sensor processing for spacecraft; MATLAB Bluetooth data acquisition applied to dance physics. ...
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigation; An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning; Stock market prediction; Natural language processing; Music creation usng generative deep learning; Plasma control; Earth sensor processing for spacecraft; MATLAB Bluetooth data acquisition applied to dance physics. ...