Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs

Bryon Kataoka, James Brennan, Ashish Aggarwal, Matt Roberts

IBM API Connect enables organizations to drive digital innovation using its scalable and robust API management capabilities across multi-cloud and hybrid environments. With API Connect's security, flexibility, and high performance, you'll be able to meet the needs of your enterprise and clients by extending your API footprint. This book provides a complete roadmap to create, manage, govern, and publish your APIs.You'll start by learning about API Connect components, such as API managers, developer portals, gateways, and analytics subsystems, as well as the management capabilities provided by CLI commands. You’ll then develop APIs using OpenAPI and discover how you can enhance them with logic policies. The book shows you how to modernize SOAP and FHIR REST services as secure APIs with authentication, OAuth2/OpenID, and JWT, and demonstrates how API Connect provides safeguards for GraphQL APIs as well as published APIs that are easy to discover and well documented. As you advance, the book guides you in generating unit tests that supplement DevOps pipelines using Git and Jenkins for improved agility, and concludes with best practices for implementing API governance and customizing API Connect components.By the end of this book, you'll have learned how to transform your business by speeding up the time-to-market of your products and increase the ROI for your enterprise.

Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform

Srikumar Nair, Charles Lamanna

Microsoft Dataverse for Teams is a built-in, low-code data platform for Teams and enables everyone to easily build and deploy apps, flows, and intelligent chatbots using Power Apps, Power Automate, and Power Virtual Agents (PVA) embedded in Microsoft Teams.Without learning any coding language, you will be able to build apps with step-by-step explanations for setting up Teams, creating tables to store data, and leverage the data for your digital solutions. With the techniques covered in the book, you’ll be able to develop your first app with Dataverse for Teams within an hour! You’ll then learn how to automate repetitive tasks or build alerts using Power Automate and Power Virtual Agents. As you get to grips with building these digital solutions, you’ll also be able to understand when to consider upgrading from Dataverse for Teams to Dataverse, along with its advanced features. Finally, you’ll explore features for administration and governance and understand the licensing requirements of Microsoft Dataverse for Teams and PowerApps.Having acquired the skills to build and deploy an enterprise-grade digital solution, by the end of the book, you will have become a qualified citizen developer and be ready to lead a digital revolution in your organization.

Digitalizacja w systemach automatyki SIMATIC. Teoria, przykłady, ćwiczenia

Artur Nowocień

Z pamięci papieru do pamięci komputera Współczesnym przemysłem rządzi... informatyka. Ta dziedzina stale się rozwija i zagarnia pod swoje skrzydła kolejne sektory ― od produkcji, przez logistykę i księgowość, po dystrybucję i sprzedaż. Tyle teorii. W praktyce zaś często się okazuje, że podczas gdy otoczenie biznesowe i technologie pędzą naprzód, systemy stosowane w przemyśle zostają nieco z tyłu. Głównym celem, jaki przyświeca autorowi tej publikacji, skierowanej przede wszystkim do automatyków i programistów sterowników PLC, jest odczarowanie pojęcia digitalizacji i udowodnienie, że technologie, które się w nie wpisują, nie są wcale zarezerwowane dla specjalistów IT. W rzeczywistości wszyscy stosujemy je na co dzień, tylko w okrojonej formie. W książce poruszane są takie tematy jak podstawowe założenia czwartej rewolucji przemysłowej, cyberbezpieczeństwo, mechanizmy informatyczne implementowane na poziomie konwencjonalnych urządzeń automatyki, internet rzeczy, chmury obliczeniowe, systemy brzegowe, a także technologie, które wyznaczają przyszłość automatyki przemysłowej. Każdy rozdział składa się z dwóch części: teoretycznej, zawierającej omówienie podstawowych zagadnień, które należy przyswoić, aby móc świadomie korzystać z danej technologii, i praktycznej, prezentującej jej implementację przy użyciu powszechnie stosowanych komponentów automatyki.

Digitalizacja w systemach automatyki SIMATIC. Teoria, przykłady, ćwiczenia. Wydanie II

Artur Nowocień

Z pamięci papieru do pamięci komputera Współczesnym przemysłem rządzi... informatyka. Ta dziedzina stale się rozwija i zagarnia pod swoje skrzydła kolejne sektory ― od produkcji, przez logistykę i księgowość, po dystrybucję i sprzedaż. Tyle teorii. W praktyce zaś często się okazuje, że podczas gdy otoczenie biznesowe i technologie pędzą naprzód, systemy stosowane w przemyśle zostają nieco z tyłu. Głównym celem, jaki przyświeca autorowi tej publikacji, skierowanej przede wszystkim do automatyków i programistów sterowników PLC, jest odczarowanie pojęcia digitalizacji i udowodnienie, że technologie, które się w nie wpisują, nie są wcale zarezerwowane dla specjalistów IT. W rzeczywistości wszyscy stosujemy je na co dzień, tylko w okrojonej formie. W książce poruszane są takie tematy jak podstawowe założenia czwartej rewolucji przemysłowej, cyberbezpieczeństwo, mechanizmy informatyczne implementowane na poziomie konwencjonalnych urządzeń automatyki, internet rzeczy, chmury obliczeniowe, systemy brzegowe, a także technologie, które wyznaczają przyszłość automatyki przemysłowej. Każdy rozdział składa się z dwóch części: teoretycznej, zawierającej omówienie podstawowych zagadnień, które należy przyswoić, aby móc świadomie korzystać z danej technologii, i praktycznej, prezentującej jej implementację przy użyciu powszechnie stosowanych komponentów automatyki.

Direct3D Rendering Cookbook. For C# .NET developers this is the ultimate cookbook for Direct3D rendering in PC games. Covering all the latest innovations, it teaches everything from debugging to character animation, supported throughout by illustrations and sample code

Justin Stenning, Justin Stenning

Disaster Recovery Using VMware vSphere Replication and vCenter Site Recovery Manager. Disaster Recovery, simplified - Second Edition

Abhilash G B

VMware vCenter Site Recovery manage is an orchestration tool used to automate disaster recovery in a manner that no other solution does. It is programmed to leverage array-based replication and VMware's proprietary vSphere Replication engine.The book begins by talking about the architecture of SRM and guides you through the procedures involved in installing and configuring SRM to leverage array-based replication. You will then learn how to protect your virtual machines by creating Protection Groups and validate their recoverability by testing recovery plans and even performing failover and failback. Moving on, you will learn how to install and configure vSphere Replication as a standalone disaster recovery solution. It also guides you through the procedures involved in configuring SRM to leverage vSphere replication.Finally, you will learn how to deploy and configure vRealize Orchestrator and its plugin for SRM and vSphere Replication.

Disaster Recovery using VMware vSphere Replication and vCenter Site Recovery Manager. Use VMware vCenter SRM as a disaster recovery solution leveraging both array-based replication and vSphere Replication

Abhilash G B

Discovering Business Intelligence using MicroStrategy 9. The MicroStrategy platform can make your Business Intelligence (BI) activities so much more communicative and collaborative. With this book you'll learn the capabilities of the platform and how to use them to revolutionize your BI

Nelson Enriquez, Juan Nelson, Samundar Singh Rathore

Business Intelligence is a type of technology that has been proven to support business decisions in an organization. MicroStrategy 9 is a fully-integrated BI platform that makes Business Intelligence faster, easier, and more user-friendly. It enables businesses to generate their own reports and dashboards without the need for technical knowledge.This practical, hands-on guide will provide Business Intelligence for executives, as well as enable BI reports and dashboards without the dependency of IT savvy personnel. It will allow you to design, build, and share business relevant data in hours, in a secure way, including mobile devices and show you how to leverage your transactional information.This example-oriented book looks at the value proposition of cloud computing and the MicroStrategy platform, and features practical exercises for BI reports and dashboard enablement, including the design phase and best practices for when we design a BI report.The book begins with an exploration of MicroStrategy along with typical business needs. Our focus then shifts to best practices for BI reports and dashboard definitions from the functional stand point, with easy-to-do exercises that will allow you to enable the reports in the platform. You will learn about scorecards and dashboards, along with sharing the reports. Next, you will get acquainted with cloud-based services provided by the MicroStrategy platform. By the end of this book, you will able to design, enable, and share BI reports and dashboards without the need for comprehensive technical knowledge, and leverage the latest technology on the market.

Discrete Mathematics With Cryptographic Applications. A Self-Teaching Guide to Unlocking the Power of Advanced Concepts and Computational Techniques

Mercury Learning and Information, Alexander I. Kheyfits

This book offers a comprehensive guide to discrete mathematics and its applications to cryptography. It is designed for students and professionals in fields such as discrete mathematics and finite mathematics, with all necessary prerequisites clearly explained and illustrated. The text introduces key concepts in number theory, coding theory, and information theory, which are essential for understanding cryptography.Understanding discrete mathematics is crucial for anyone working in cryptography and related fields. The book begins with a survey of elementary functions and moves on to propositional algebra, set theory, and algebraic structures like groups, rings, and fields. It covers binary relations, combinatorics, and elements of number theory, which are fundamental to cryptographic methods.Readers will explore topics such as Boolean functions, hashing functions, cryptographic maps, combinatorial circuits, and graph theory. The book also delves into advanced areas like finite automata, game theory, and Turing machines. Through numerous examples, problems, and solutions, readers will gain a solid foundation in discrete mathematics and its cryptographic applications.

Distributed Computing in Java 9. Leverage the latest features of Java 9 for distributed computing

Raja Malleswara Rao Malleswara Rao Pattamsetti

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.

Distributed Computing with Go. Practical concurrency and parallelism for Go applications

V.N. Nikhil Anurag

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.

Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide

Rasheedh B, Francesco Pierfederici

CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.

Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.

Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns

Bhupesh Guptha Muthiyalu, Suneel Kumar Kunani, Reuben Bond

Building distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.By the end of this book, you'll have developed the confidence and skills required to build distributed applications using Microsoft Orleans and deploy them in Microsoft Azure.

Diving into Secure Access Service Edge. A technical leadership guide to achieving success with SASE at market speed

Jeremiah Ginn, David H. Brown

The SASE concept was coined by Gartner after seeing a pattern emerge in cloud and SD-WAN projects where full security integration was needed. The market behavior lately has sparked something like a space race for all technology manufacturers and cloud service providers to offer a SASE solution. The current training available in the market is minimal and manufacturer-oriented, with new services being released every few weeks. Professional architects and engineers trying to implement SASE need to take a manufacturer-neutral approach.This guide provides a foundation for understanding SASE, but it also has a lasting impact because it not only addresses the problems that existed at the time of publication, but also provides a continual learning approach to successfully lead in a market that evolves every few weeks. Technology teams need a tool that provides a model to keep up with new information as it becomes available and stay ahead of market hype.With this book, you’ll learn about crucial models for SASE success in designing, building, deploying, and supporting operations to ensure the most positive user experience (UX). In addition to SASE, you’ll gain insight into SD-WAN design, DevOps, zero trust, and next-generation technical education methods.

DIY Microcontroller Projects for Hobbyists. The ultimate project-based guide to building real-world embedded applications in C and C++ programming

Miguel Angel Garcia-Ruiz, Pedro Cesar Santana Mancilla

We live in a world surrounded by electronic devices, and microcontrollers are the brains of these devices. Microcontroller programming is an essential skill in the era of the Internet of Things (IoT), and this book helps you to get up to speed with it by working through projects for designing and developing embedded apps with microcontroller boards.DIY Microcontroller Projects for Hobbyists are filled with microcontroller programming C and C++ language constructs. You'll discover how to use the Blue Pill (containing a type of STM32 microcontroller) and Curiosity Nano (containing a type of PIC microcontroller) boards for executing your projects as PIC is a beginner-level board and STM-32 is an ARM Cortex-based board. Later, you'll explore the fundamentals of digital electronics and microcontroller board programming. The book uses examples such as measuring humidity and temperature in an environment to help you gain hands-on project experience. You'll build on your knowledge as you create IoT projects by applying more complex sensors. Finally, you'll find out how to plan for a microcontroller-based project and troubleshoot it.By the end of this book, you'll have developed a firm foundation in electronics and practical PIC and STM32 microcontroller programming and interfacing, adding valuable skills to your professional portfolio.

Django 1.0 Template Development. A practical guide to Django template development with custom tags, filters, multiple templates, caching, and more

Scott Newman, Jacob Kaplan-Moss

Django 1.0 Website Development. Build powerful web applications, quickly and cleanly, with the Django application framework

Ayman Hourieh, Jacob Kaplan-Moss, Ayman Hourieh (EUR)

Django is a high-level Python web framework that was developed by a fast-moving online-news operation to meet the stringent twin challenges of newsroom deadlines and the needs of web developers. It is designed to promote rapid development and clean, pragmatic design and lets you build high-performing, elegant web applications rapidly. Django focuses on automating as much as possible and adhering to the DRY (Don't Repeat Yourself) principle, making it easier to build high-performance web applications faster, with less code.This book will show you how to assemble Django's features and take advantage of its power to design, develop, and deploy a fully-featured web site. It will walk you through the creation of an example web application, with lots of code examples.Specially revised for version 1.0 of Django, the book starts by introducing the main design concepts in Django. Next, it leads you through the process of installing Django on your system. After that, you will start right away on building your social bookmarking application using Django. Various Django 1.0 components and sub-frameworks will be explained during this process, and you will learn about them by example.In each chapter, you will build one or more of the features that are essential in Web 2.0 applications, like user management, tags, and AJAX. You will also learn about good software development practices, such as keeping your application secure, and automating testing with unit tests. By the end of the book, you will have built a fully functional real-life Web 2.0 application, and learned how to deploy it to a production server.

Django 1.1 Testing and Debugging. Building rigorously tested and bug-free Django applications

Karen M. Tracey, Karen Tracey, Jacob Kaplan-Moss

Bugs are a time consuming burden during software development. Django's built-in test framework and debugging support help lessen this burden. This book will teach you quick and efficient techniques for using Django and Python tools to eradicate bugs and ensure your Django application works correctly. This book will walk you step by step through development of a complete sample Django application. You will learn how best to test and debug models, views, URL configuration, templates, and template tags. This book will help you integrate with and make use of the rich external environment of test and debugging tools for Python and Django applications. The book starts with a basic overview of testing. It will highlight areas to look out for while testing. You will learn about different kinds of tests available, and the pros and cons of each, and also details of test extensions provided by Django that simplify the task of testing Django applications. You will see an illustration of how external tools that provide even more sophisticated testing features can be integrated into Django's framework. On the debugging front, the book illustrates how to interpret the extensive debugging information provided by Django's debug error pages, and how to utilize logging and other external tools to learn what code is doing.

Django 2 by Example. Build powerful and reliable Python web applications from scratch

Antonio Melé

If you want to learn the entire process of developing professional web applications with Django 2, then this book is for you. You will walk through the creation of four professional Django 2 projects, teaching you how to solve common problems and implement best practices.You will learn how to build a blog application, a social image bookmarking website, an online shop and an e-learning platform. The book will teach you how to enhance your applications with AJAX, create RESTful APIs and set up a production environment for your Django 2 projects. The book walks you through the creation of real-world applications, solving common problems, and implementing best practices. By the end of this book, you will have a deep understanding of Django 2 and how to build advanced web applications.

Django 2. Praktyczne tworzenie aplikacji sieciowych. Wydanie II

Antonio Mele

Django jest frameworkiem do budowy profesjonalnych aplikacji sieciowych w języku Python. Cieszy się zasłużoną opinią potężnego narzędzia, którego można się szybko nauczyć. Spodoba się każdemu, kto ceni prostotę użytkowania i pragmatyczne podejście do projektowania. Z pewnością Django jest atrakcyjnym rozwiązaniem dla programistów, którzy profesjonalnie podchodzą do tworzenia aplikacji WWW i stawiają na niezawodność. To drugie, zaktualizowane i uzupełnione wydanie cenionego podręcznika pisania aplikacji sieciowych w Django. Krok po kroku pokazano w nim pełny proces tworzenia oprogramowania, od pierwszych linii kodu po wdrożenie, z akcentem na praktyczną stronę pracy dewelopera. Nie tylko zaprezentowano technikę pracy z frameworkiem, ale też opisano zasady integrowania innych popularnych technologii z projektami Django. Książka pozwala również zapoznać się z metodami rozwiązywania typowych problemów z implementacją, a także - w sposób naturalny, niejako mimochodem - nauczyć się najlepszych praktyk programistycznych z wykorzystaniem łatwych do powielenia procedur. Najważniejsze zagadnienia omówione w książce: wprowadzenie do frameworka i tworzenie praktycznego projektu aplikacji implementacja zaawansowanych funkcji aplikacji sieciowych tworzenie modelu użytkownika i zintegrowane uwierzytelnianie praca z innymi technologiami, w tym zarządzanie płatnościami tłumaczenie aplikacji na wiele języków API typu RESTful Django - dla tych, którzy chcą mieć świetne wyniki!

Django 2 Web Development Cookbook. 100 practical recipes on building scalable Python web apps with Django 2 - Third Edition

Jake Kronika, Aidas Bendoraitis

Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project.You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite.In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.

Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition

Antonio Melé

If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications. In this book, you will build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Step-by-step guidance will teach you how to integrate popular technologies, enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. By the end of this book, you will have mastered Django 3 by building advanced web applications.