Programowanie

SIMATIC Motion Control - sterowanie serwonapędami. Teoria. Aplikacje. Ćwiczenia

Radosław Krzyżanowski

Motion control dla inżyniera Automatyka przemysłowa to najszybciej rozwijający się dział inżynierii elektrycznej. Nic w tym dziwnego - obecnie w wytwórczości dąży się do maksymalnego zautomatyzowania procesów produkcyjnych. By tak się stało, paradoksalnie potrzeba ludzi. Specjalistów, którzy rozumieją zasady, na jakich pracują maszyny, potrafią je programować, optymalizować i planować ich pracę w sposób odpowiadający bieżącym oczekiwaniom. To podręcznik skierowany do inżynierów automatyków zajmujących się wdrożeniami systemów sterowania (sterowników PLC) z zaawansowanymi funkcjami sterowania ruchem - z ang. motion control. Autor książki przedstawia w niej konkretne aplikacje i proponowane dla nich rozwiązania technologiczne. Opisuje także problemy, na jakie może się natknąć inżynier, wraz z opcjami ich skutecznych rozwiązań.

SIMATIC Motion Control - sterowanie serwonapędami. Teoria. Aplikacje. Ćwiczenia. Wydanie 2

Radosław Krzyżanowski

Motion control dla inżyniera Automatyka przemysłowa to najszybciej rozwijający się dział inżynierii elektrycznej. Nic w tym dziwnego - obecnie w wytwórczości dąży się do maksymalnego zautomatyzowania procesów produkcyjnych. By tak się stało, paradoksalnie potrzeba ludzi. Specjalistów, którzy rozumieją zasady, na jakich pracują maszyny, potrafią je programować, optymalizować i planować ich pracę w sposób odpowiadający bieżącym oczekiwaniom. To podręcznik skierowany do inżynierów automatyków zajmujących się wdrożeniami systemów sterowania (sterowników PLC) z zaawansowanymi funkcjami sterowania ruchem - z ang. motion control. Autor książki przedstawia w niej konkretne aplikacje i proponowane dla nich rozwiązania technologiczne. Opisuje także problemy, na jakie może się natknąć inżynier, wraz z opcjami ich skutecznych rozwiązań.

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

Simplify Testing with React Testing Library. Create maintainable tests using RTL that do not break with changes

Scottie Crump

React Testing Library (RTL) is a lightweight and easy-to-use tool for testing the document object model (DOM) output of components. This book will show you how to use this modern, user-friendly tool to test React components, reducing the risk that your application will not work as expected in production.The book demonstrates code snippets that will allow you to implement RTL easily, helping you to understand the guiding principles of the DOM Testing Library to write tests from the perspective of the user. You'll explore the advantages of testing components from the perspective of individuals who will actually use your components, and use test-driven development (TDD) to drive the process of writing tests. As you advance, you'll discover how to add RTL to React projects, test components using the Context API, and also learn how to write user interface (UI) end-to-end tests using the popular Cypress library. Throughout this book, you’ll work with practical examples and useful explanations to be able to confidently create tests that don't break when changes are made.By the end of this React book, you will have learned all you need to be able to test React components confidently.

Simplifying Application Development with Kotlin Multiplatform Mobile. Write robust native applications for iOS and Android efficiently

Róbert Nagy

Sharing code between platforms can help developers gain a competitive edge, and Kotlin Multiplatform Mobile (KMM) offers a sensible way to do it. KMM helps mobile teams share code between Android and iOS in a flexible way, leaving room for native development.The book begins by helping you to gain a clear understanding of the Kotlin Multiplatform approach, how it works, and how it is different from cross-platform technologies, such as React Native and Flutter, and code sharing options, such as C++. You'll then see how your team can use this software development kit (SDK) to build native applications more effectively by learning timeless concepts and working through practical examples. As you advance, you'll get to grips with the core concepts, understand why UI sharing fails, and get hands-on with developing a small KMM application. Finally, you'll discover expert tips and best practices, along with production- and adoption-related questions, that will help you take the next step in your project and career.By the end of this Kotlin book, you'll have gained a solid understanding of the capabilities of KMM and be able to share code between Android and iOS flexibly.

Simplifying Service Management with Consul. Overcome connectivity and security challenges within dynamic service architectures

Robert E. Jackson

Within the elastic and dynamic nature of cloud computing, efficient and accurate service discovery provides the cornerstone for all communications. HashiCorp Consul facilitates this service discovery efficiently and securely, independent of the operating environment. This book will help you build a solid understanding of both the concepts and applications of HashiCorp Consul.You'll begin by finding out what you can do with Consul, focusing on the conceptual views of configuration samples along with Terraform code to expedite lab environment and hands-on experimentation, which will enable you to apply Consul effectively in your everyday lives. As you advance, you'll learn how to set up your own Consul cluster and agents in a single datacenter or location and understand how Consul utilizes RAFT and GOSSIP protocols for communication. You'll also explore the practical applications of primary Consul use cases, including communication flows and configuration and code examples. With that knowledge, you'll extend Consul across datacenters to discuss the applicability of multiple regions, multiple clouds, and hybrid cloud environments.By the end of this Consul book, you will have the tools needed to create and operate your own Consul cluster and be able to facilitate your service discovery and communication.

Simplifying State Management in React Native. Master state management from hooks and context through to Redux, MobX, XState, Jotai and React Query

Aleksandra Desmurs-Linczewska, Kadi Kraman

Managing state in a React Native app can be challenging as it is one of the most difficult concepts to grasp while learning React Native. This is because there are so many ways to do it, and because there is a lack of clear guidelines on what should be used and why.Simplifying State Management in React Native is a comprehensive introduction for those who are new to creating robust React Native apps that will have you up to speed in no time. You’ll get to grips with the different state management strategies and libraries available. As you progress through the chapters, you’ll try out different solutions, as well as compare and choose which solution is perfectly suited to your future projects and personal preferences. Finally, you’ll create a social media clone app using all the concepts and examples that you’ve learned in this book.By the end of this book, you’ll be able to take on existing projects that use various state management strategies and libraries, and confidently make decisions about state management.

Simulation for Data Science with R. Effective Data-driven Decision Making

Matthias Templ

Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.